U.S. patent application number 16/907852 was filed with the patent office on 2020-10-08 for methods and systems for summarizing a visitor experience at a non-profit venue using multimedia recreations.
This patent application is currently assigned to Olive Seed Industries, LLC. The applicant listed for this patent is Olive Seed Industries, LLC. Invention is credited to Charles H. Cella, Christine Soule, Richard Spitz.
Application Number | 20200320577 16/907852 |
Document ID | / |
Family ID | 1000004938290 |
Filed Date | 2020-10-08 |
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United States Patent
Application |
20200320577 |
Kind Code |
A1 |
Soule; Christine ; et
al. |
October 8, 2020 |
METHODS AND SYSTEMS FOR SUMMARIZING A VISITOR EXPERIENCE AT A
NON-PROFIT VENUE USING MULTIMEDIA RECREATIONS
Abstract
A method for providing supplemental media to a visitor at a
non-profit venue, comprising: executing an application on a mobile
computing device carried by the visitor, which, when executed,
performs the steps of: tracking a specific path of the visitor
through the non-profit venue using wireless beacons; tracking
locations where the visitor stopped and waited; storing the
specific path of the visitor on a remote server; providing a
digital map to the visitor on the mobile computing device carried
by the visitor; using the specific path of the visitor stored on
the remote server to determine whether or not the visitor had come
into proximity of certain exhibits or objects depicted on the
digital map; and automatically assembling a multimedia presentation
summarizing specific portions of the non-profit venue that the
visitor visited and presenting the multimedia presentation to the
visitor.
Inventors: |
Soule; Christine;
(Woodinville, WA) ; Cella; Charles H.; (Pembroke,
MA) ; Spitz; Richard; (Woodinville, WA) |
|
Applicant: |
Name |
City |
State |
Country |
Type |
Olive Seed Industries, LLC |
Woodinville |
WA |
US |
|
|
Assignee: |
Olive Seed Industries, LLC
Woodinville
WA
|
Family ID: |
1000004938290 |
Appl. No.: |
16/907852 |
Filed: |
June 22, 2020 |
Related U.S. Patent Documents
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Application
Number |
Filing Date |
Patent Number |
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PCT/US2019/045220 |
Aug 6, 2019 |
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16907852 |
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16905222 |
Jun 18, 2020 |
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PCT/US2019/045220 |
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PCT/US2019/045220 |
Aug 6, 2019 |
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16905222 |
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62715018 |
Aug 6, 2018 |
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Current U.S.
Class: |
1/1 |
Current CPC
Class: |
G06K 9/00671 20130101;
H04W 4/029 20180201; H04W 4/10 20130101; G06F 16/9535 20190101;
H04W 4/024 20180201; G06Q 30/0271 20130101; H04W 4/33 20180201 |
International
Class: |
G06Q 30/02 20060101
G06Q030/02; H04W 4/024 20060101 H04W004/024; H04W 4/029 20060101
H04W004/029; H04W 4/33 20060101 H04W004/33; H04W 4/10 20060101
H04W004/10; G06F 16/9535 20060101 G06F016/9535; G06K 9/00 20060101
G06K009/00 |
Claims
1. A method for providing supplemental media to a visitor at a
non-profit venue, comprising: executing an application on a mobile
computing device carried by a visitor to a non-profit venue, which,
when executed, performs the steps of: tracking a specific path of
the visitor through the non-profit venue using wireless beacons;
tracking locations where the visitor stopped and waited; storing
the specific path of the visitor on a remote server; providing a
digital map to the visitor on the mobile computing device; using
the specific path of the visitor stored on the remote server to
determine whether or not the visitor had come into proximity of
certain exhibits or objects depicted on the digital map; and
automatically assembling a multimedia presentation summarizing
specific portions of the non-profit venue that the visitor visited
and presenting the multimedia presentation to the visitor.
2. The method of claim 1, wherein the multimedia presentation is
presented in an application running on the mobile computing device
carried by the user.
3. The method of claim 1, wherein the multimedia presentation is
emailed to the visitor.
4. The method of claim 1, wherein the multimedia presentation is an
audio summary provided via a voice agent system.
5. The method of claim 1, wherein the multimedia presentation is
delivered on a kiosk in the non-profit venue.
6. The method of claim 1, wherein the multimedia includes
additional information about an exhibit the visitor visited that
was not presented at the exhibit.
7. The method of claim 1, wherein the specific portions of the
non-profit venue where the visitor stopped and waited are added to
a bookmark list.
8. The method of claim 1, wherein the multimedia presentation
includes additional multimedia for the portions of the non-profit
venue that the visitor visited.
9. The method of claim 1, wherein the performed steps further
include the step of automatically subscribing the visitor to an
ongoing email or push-messaging update about a status of the
specific portions of the non-profit venue on a bookmark list.
10. The method of claim 9, wherein the update includes information
about additions, changes, an annotation by another visitor, an
observation by the other visitor, or an event regarding the
specific portions of the non-profit venue on the bookmark list.
11. A method for personalizing an experience of a visitor at a
non-profit venue, comprising: executing an application on a mobile
computing device, which, when executed, performs the steps of:
analyzing a path of a visitor taken through a non-profit venue
using a set of tracking systems; recording an interaction of the
visitor with a specific non-profit venue exhibit associated with an
ongoing campaign; retrieving demographic information related to the
visitor from a database; providing a visitor vector to a
recommendation engine, wherein the visitor vector includes the
demographic information related to the visitor, wherein a
personalized multimedia presentation is personalized to the visitor
and presented to the visitor during the interaction of the visitor
with the specific non-profit venue exhibit based on results output
by the recommendation engine.
12. The method of claim 11, wherein the personalized multimedia
presentation is presented in an application running on the mobile
computing device carried by the visitor separately from the
specific non-profit venue exhibit.
13. The method of claim 11, wherein the specific non-profit venue
exhibit includes a kiosk that presents the personalized multimedia
presentation.
14. The method of claim 11, wherein the personalized multimedia
presentation displays a name of the visitor or other information
related to the visitor.
15. The method of claim 11, wherein the personalized multimedia
presentation is personalized based on an education level, income
level, language, developmental status, or age of the visitor.
16. The method of claim 11, wherein the developmental status of the
visitor indicates that the visitor is a child.
17. The method of claim 11, wherein the visitor vector includes
recorded visitor interaction data; wherein the recorded visitor
interaction data includes records of interactions of the visitor
with a non-profit venue exhibit other than the specific non-profit
venue exhibit; wherein the recorded visitor interaction data
demonstrates a degree of interest of the visitor in categories of
information conveyed by the non-profit venue exhibit; and wherein
the personalized multimedia presentation is personalized based on
the categories of information in which the visitor has demonstrated
a greater interest based on the recorded visitor interaction data
from the interactions of the visitor with the non-profit venue
exhibit other than the specific non-profit venue exhibit.
18. The method of claim 17, wherein the categories of information
are selected from a group consisting of history, pictures, people,
current activities and combinations thereof.
19. The method of claim 11, wherein the personalized multimedia
presentation includes augmented reality.
Description
CROSS-REFERENCE TO RELATED APPLICATIONS
[0001] This application is: (i) a continuation of U.S. application
Ser. No. 16/905,222 filed Jun. 18, 2020 and entitled METHODS AND
SYSTEMS FOR PERSONALIZING VISITOR EXPERIENCE AT A NON-PROFIT VENUE
USING MACHINE LEARNING TO GENERATE SELECTION OR SEQUENCE OF
NON-PROFIT VENUE LOCATION RECOMMENDATIONS, and (ii) a bypass
continuation of International Application No. PCT/US2019/045220
filed Aug. 6, 2019, published as WO 2020/033354 on Feb. 13, 2020,
which claims priority to U.S. provisional application No.
62/715,018, filed on Aug. 6, 2018, each entitled METHODS AND
SYSTEMS FOR PERSONALIZING GUEST EXPERIENCE AT A VENUE. Each of the
above applications is hereby incorporated by reference as if fully
set forth herein in its entirety.
TECHNICAL FIELD
[0002] This application relates to the field of personalizing
visitor experience at a venue. More particularly this application
relates to methods and systems for providing recommendations to
visitors of a museum, zoo or other non-profit venue based on their
interaction and enhancing participation in campaigns.
BACKGROUND
[0003] Non-profit venues such as museums, zoos, exhibition halls,
and parks are typically supported at least in part by philanthropic
donations from members, visitors and other supporters. Donated
funds are used in part to support projects, such as the creation,
maintenance and ongoing care for exhibits, subjects, animals,
curated objects, and other items that are presented or curated
within a venue, as well as other projects and activities (e.g.,
archeological digs, restoration projects, habitat preservation
projects, and many others) that take place away from a venue but
are associated with or represented in a venue. Such venues may
often have a large number of physical points of interest for a
visitor, representing different topics, projects, activities and
the like. For example, an art museum may have separate rooms for
different art styles like renaissance art, impressionism, cubism,
surrealism, pop art etc. Similarly, an exhibition may include
groupings of sculptures based on countries of origin and a park may
have different sections based on various activities or themes.
[0004] Service providers and owners of non-profit venues such as
museums, zoos, and parks are continually challenged to raise funds
for their projects and other activities, as well as to offer
favorable experiences for visitors. Traditionally, such venues have
relied upon printed placards, audio-visual guides, mobile
applications, and touchscreens to convey information to the
visitors about various sections or specific objects like individual
paintings, sculptures etc. However, conventional approaches contain
generic information about items of interest and therefore fail to
provide a personalized experience to a visitor based on the
interests of the visitor. In turn, conventional approaches may fail
to engage the personal philanthropic interests of a visitor, such
as interest in supporting a particular project, as opposed to the
venue or institution as a whole.
[0005] Applicant appreciates a need for improved methods and
systems for creating and presenting personalized information to a
visitor of a venue, such as a non-profit venue, in order to
encourage philanthropic activity, such as donations, by the
visitor.
SUMMARY
[0006] Methods and systems are provided herein for personalizing
the experience for visitors (referred to herein in some cases as
guests) of a museum, zoo or other non-profit venue, such as based
on interests, location, or other contexts, including interest in
particular items or topics and philanthropic interests. In
embodiments, the personalizing of visitor experience may make use
of location information of the visitor within the venue (including
time-based location information, such as dwell time), as well as
other information like demographic information, information about
interests of a visitor, information about activities of a visitor,
or the like. Such information may be utilized to personalize the
experience of the visitor in various ways, such as for providing
personalized recommendations (such as suggested routes to points of
interest or locations in the venue), campaign participation and
other philanthropic opportunities, improved photography or
videography services, personalized multimedia content, digital
guides and the like.
[0007] In embodiments, methods and systems for personalizing
visitor experience at a museum, zoo or other non-profit venue
include providing recommendations to visitors based on their
interactions within the venue. In embodiments, interactions may be
captured by one or more tracking systems within a venue, such as a
location tracking system (e.g., using beacons, access points, or
local proximity detection systems, such as NFC or Bluetooth
systems) and/or interaction tracking systems (such as cameras,
microphones, proximity detectors, motion detectors, touch detectors
and the like). In embodiments, interactions may be tracked by
analyzing the interactions of a visitor with a mobile device. In
embodiments, interactions may be tracked by analyzing content
captured by a mobile device, such as photographic, video and/or
audio content recorded by the mobile device. For example, in
embodiments, interactions may be captured by a mobile device, such
as a mobile device of a visitor or one provided for use by a
visitor. In embodiments, the recommendations may be provided by a
software product running a program on a mobile computing device
carried by the visitor, which when executed performs the steps of:
analyzing the location of photographs taken by the visitor,
analyzing the subjects of these photographs, analyzing the path of
the visitor taken through the venue such as using RF beacons or
other tracking systems, providing the information as an input, such
as a feature vector, profile, or the like to a recommendation
engine, and, using the results of the recommendation engine,
suggesting other experiences for the visitor. In embodiments, the
other experience is a donation or gifting opportunity related to an
exhibit. In embodiments, the other experience is a visit to a
different exhibit in the venue.
[0008] Provided herein is, a method for personalizing an experience
of a visitor at a non-profit venue, comprising: executing an
application on a mobile computing device carried by the visitor,
which, when executed, performs the steps of: analyzing a path of
the visitor taken through the venue based on data from a set of
tracking systems recording an interaction of the visitor with a
specific exhibit or other item associated with an ongoing campaign;
upon detecting that an interaction by the visitor with the specific
exhibit or other item exceeds a threshold, providing personalized
information relating to the visitor to a recommendation engine;
and, using results from the recommendation engine, presenting a
relevant call-to-action to the visitor to participate in the
campaign. In embodiments, the personalized information includes a
feature vector or visitor profile. In embodiments, the campaign is
a charitable project selected from the group consisting of a
translation project, an art project, a clean water project, an
education project, a building project, a missionary project, a
disaster relief project, a restoration project, an acquisition
project and combinations thereof. In embodiments, the recorded
interaction of the visitor with the specific exhibit or other item
is analyzed based on video taken of a face of the visitor. In
embodiments, the recorded interaction of the visitor with the
specific exhibit or other item is analyzed by the mobile computing
device or by a platform in communication therewith using visual
affect detection. In embodiments, the call-to-action is presented
in response to the visitor requesting additional information about
a campaign. In embodiments, the relevant call-to-action is selected
from a group consisting of a request for a donation, a request for
a subscription, a request to share on social media, a request to
provide metadata about the visitor for display on an endorsement, a
request to share the campaign with others, a request to be
contacted further, a request to donate on behalf of another, a
request to sponsor another campaign participant, a request for
sponsorship by another to participate in the campaign and
combinations thereof. In embodiments, the campaign has a set of
goals and the application shows a degree of achievement of the set
of goals in a graphical form. In embodiments, the steps further
include the step of automatically subscribing the visitor to an
ongoing email or push-messaging update about a status of the
campaign.
[0009] An aspect provided herein includes an information technology
platform for personalizing an experience of a visitor at a
non-profit venue, the platform comprising a mapping and tracking
system for storing a personalized tracking history of the visitor,
for generating a live, digital map of the venue and for mapping and
tracking venue elements, venue personnel, and a set of visitors at
the non-profit venue. In embodiments, the digital map depicts
location information selected from the group consisting of:
exhibits; objects; meeting spots; popular photo and video
locations; attractions; paths; the visitor; other visitors;
visitors having a significance to the visitor including: friends,
family, a tour group, a tour guide; a route associated with the
visitor including: a recommended route, a pre-planned route, an
actual route; entrances; exits; parking; a vehicle associated with
the visitor; refreshments; dining; restrooms; retail shops; kiosks;
security stations; information assistance stations; docent
stations; employees of the venue and combinations thereof; and the
digital map conveys information regarding a topic selected from the
group consisting of a philanthropic opportunity, a campaign and
combinations thereof. In embodiments, the digital map includes data
selected from the group consisting of high-resolution imagery,
high-resolution video, captioning, textual data, live video feed
and combinations thereof.
[0010] In embodiments, supplemental media are provided by the
platform to the visitor based on personalized tracking history; and
the supplemental media are provided by a software product running a
program on a mobile computing device carried by the visitor, which,
when executed, performs the steps of: tracking a specific path of
the visitor through the venue; storing the locations where the
visitor stopped and waited; storing the specific path of the
visitor on a remote server; providing the digital map to the
visitor on the mobile computing device; and at a final end of a
visit, assembling a multimedia presentation summarizing specific
portions of the venue that the visitor visited and presenting the
multimedia to the visitor. As used herein, "final end"
distinguishes the temporal beginning of a visit from the temporal
completion of the visit. The "final end" is coincident with the
temporal completion of the visit. As used herein, "at the final
end" means occurring in time at approximately the temporal
completion of the visit. It is not necessary for the visitor 102 to
have exited the venue 104 to have approximately completed the
visit. In an example, at the final end can mean within 5 minutes of
the visitor exiting the venue 104. Since the visitor 104 may linger
near the exit for an extended, unpredictable period of time; and
since the visitor 104 may back-track and revisit portions of the
venue 104 after having neared the exit, "at the final end" of the
visit means at a time wherein the visitor is within a certain
distance from the exit, for example 20 meters, 50 meters, or 100
meters.
[0011] An aspect provided herein includes an information technology
platform for personalizing an experience of a visitor at a
non-profit venue, the platform comprising: a navigation system for
providing a route and directions for the visitor to experience the
venue. In embodiments, the provided route is based on goodwill or
profit factors. In embodiments, the provided route is optimized to
avoid lines or crowds. In embodiments, the visitor contributes to
pre-planning the route before the route is provided. In
embodiments, the provided route is conveyed via a mobile device to
be carried by the visitor.
[0012] An aspect provided herein includes a method for
personalizing an experience of a visitor at a non-profit venue,
comprising: executing an application on a mobile computing device
carried by the visitor, which, when executed, performs the steps
of: analyzing a path of the visitor taken through the non-profit
venue using a set of tracking systems; recording an interaction of
the visitor with a specific venue exhibit associated with an
ongoing campaign; retrieving demographic information related to the
visitor from a database; providing a visitor vector to a
recommendation engine, wherein the visitor vector includes the
demographic information related to the visitor, wherein a
personalized multimedia presentation is personalized to the visitor
and presented to the visitor during the interaction of the visitor
with the specific venue exhibit based on results output by the
recommendation engine. In embodiments, the personalized multimedia
presentation is presented in an application running on the mobile
computing device separately from the venue exhibit. In embodiments,
the specific exhibit includes a kiosk that presents the
personalized multimedia presentation. In embodiments, the
personalized multimedia presentation displays a name of the visitor
or other information related to the visitor. In embodiments, the
personalized multimedia presentation is personalized based on an
education level, income level, language, developmental status, or
age of the visitor. In embodiments, the developmental status of the
visitor indicates that the visitor is a child. In embodiments, the
visitor vector includes recorded visitor interaction data; the
recorded visitor interaction data includes records of interactions
of the visitor with a venue exhibit other than the specific venue
exhibit; the recorded visitor interaction data demonstrates a
degree of interest of the visitor in categories of information
conveyed by the venue exhibit; the personalized multimedia
presentation is personalized based on the categories of information
in which the visitor has demonstrated a greater interest based on
the recorded visitor interaction data from the interactions of the
visitor with the venue exhibit other than the specific venue
exhibit. In embodiments, the categories of information are selected
from the group consisting of history, pictures, people, current
activities and combinations thereof. In embodiments, the
personalized multimedia presentation includes augmented
reality.
[0013] An aspect provided herein includes an information technology
platform for personalizing an experience of a visitor at a
non-profit venue, the platform comprising: a network; a server in
communication with the network; a mobile device to be carried by
the visitor, the mobile device in communication with the server via
the network, wherein the platform determines personalized
information about the visitor; a recommendation engine included in
the server, wherein the recommendation engine is to receive the
personalized information about the visitor and to output a
suggestion for a personalized experience for the visitor, wherein
the platform conveys the suggestion for the personalized experience
to the visitor, wherein the personalized experience is to encourage
philanthropic activity; and a notification system for conveying a
notification to the visitor. In embodiments, the notification is
selected from the group consisting of: a message that multimedia
content is available; navigation information; ticketing
information; digital guidance; venue hours of operation; a donation
opportunity; a philanthropic campaign message; a philanthropic
campaign status update; parking information; refreshment
information; dining information; retail sales information; security
information; a gamification message; augmented photo data;
augmented video data; a reward; a social connection; a popular
location for photography; a popular location for videography; a
restriction on photography for an exhibit or object; a payment
confirmation; a donation confirmation; a message that a photo
filter is available; a recommendation and combinations thereof. In
embodiments, the information technology platform further comprises
a management system for managing the platform. In embodiments, the
information technology platform further comprises a management
interface for accessing the management system. In embodiments, the
management interface is for creating an interactive campaign;
information about the campaign is displayed at multiple locations
or sites via the management interface; the information about the
campaign is displayed simultaneously at the multiple locations or
sites; and participants at the multiple locations interact or
participate in real-time communication via the management
interface. In embodiments, a form of the real-time communication is
selected from the group consisting of audio conferencing, video
conferencing, virtual reality conferencing, augmented reality
conferencing, collaborative text chat, collaborative editing and
holographic conferencing. In embodiments, the management interface
provides a heat map showing paths of a plurality of visitors
through the venue. In embodiments, the management interface is for
creating multiple templates of multimedia asset selections or
sequences. In embodiments, the management interface is for creating
interactive campaigns related to locations in a site plan. In
embodiments, the management interface is for associating a live
feed of multimedia to a site plan. In embodiments, the management
interface is for creating interactive campaigns and displaying
multimedia relating to the degree of progress towards a goal in the
interactive campaign. In embodiments, the management interface is
for designing interactive content. In embodiments, a development of
different assets for location-based kiosks and mobile applications
is performed via the management interface. In embodiments, content
for different venue locations is developed simultaneously via the
management interface.
[0014] An aspect provided herein includes an information technology
platform for personalizing an experience of a visitor at a
non-profit venue, the platform comprising: a network; a server in
communication with the network; a mobile device to be carried by
the visitor, the mobile device in communication with the server via
the network, wherein the platform determines personalized
information about the visitor; a recommendation engine included in
the server, wherein the recommendation engine is to receive the
personalized information about the visitor and to output a
suggestion for a personalized experience for the visitor, wherein
the platform conveys the suggestion for the personalized experience
to the visitor, wherein the personalized experience is to encourage
philanthropic activity; and a notification system for conveying
advertising content to the visitor. In embodiments, the
personalized information includes a present location of the
visitor; the advertising content is related to a specific exhibit
in a plurality of exhibits located at the non-profit venue; and a
location of the specific exhibit is closest to the visitor compared
to each other location of the exhibits in the plurality of
exhibits. In embodiments, the information technology platform
further comprises a navigation system for providing a route and
directions for the visitor to experience the venue. In embodiments,
the provided route is based on goodwill or profit factors. In
embodiments, the provided route is optimized to avoid lines or
crowds. In embodiments, the visitor contributes to pre-planning the
route before the route is provided. In embodiments, the provided
route is conveyed via the mobile device.
[0015] An aspect provided herein includes a method for augmenting a
photograph taken by the visitor at a non-profit venue comprising:
executing an application on a mobile computing device carried by
the visitor, which, when executed, performs the steps of: analyzing
an original photograph taken by the visitor to determine a location
of a subject of the original photograph; determining a set of
characteristics of the original photograph; accessing digital
imagery from a database of high-resolution imagery of the venue;
creating a high-resolution digital image having a corresponding set
of characteristics to those of the original photograph by using the
digital imagery from the database; masking the original photograph
based on differences between the high-resolution digital image and
original photograph taken by the visitor; and compositing the
original photograph with the high-resolution digital image to
create a high-resolution composite photograph. In embodiments, the
high-resolution imagery includes a 3D model of the location of the
subject. In embodiments, the high-resolution imagery contains
3-dimensional metadata. In embodiments, the high-resolution imagery
includes video. In embodiments, the high-resolution imagery
includes a light-field photographic image. In embodiments, the
method further comprises re-shading images of human subjects
captured in the original photograph to blend with the
high-resolution imagery from the database. In embodiments, the
method further comprises providing the high-resolution composite
photograph to the visitor on a website or within the application on
the mobile computing device carried by the visitor. In embodiments,
the set of characteristics includes at least one of location,
orientation, point of view and lighting characteristics.
[0016] Provided herein is a method for augmenting a video taken by
a visitor at a non-profit venue comprising: executing an
application on a mobile computing device carried by the visitor,
which, when executed, performs the steps of: analyzing an original
video taken by the visitor to determine locations of subjects of
the original video; determining a set of characteristics of the
original video; accessing digital imagery from a database of
high-resolution imagery of the venue; creating a high-resolution
motion path sequence of images having a corresponding set of
characteristics to those of the original video by using the digital
imagery from the database; masking the original video based on
differences between the high-resolution motion path sequence of
images and the original video taken by the visitor; compositing the
original video with the high-resolution motion path sequence of
images to create a high-resolution composite video.
[0017] In embodiments, the high-resolution imagery includes a 3D
model of the locations of the subjects. In embodiments, the
high-resolution imagery contains 3-dimensional metadata. In
embodiments, the high-resolution imagery includes video. In
embodiments, the high-resolution imagery includes a light-field
photographic image. In embodiments, the method further comprises
re-shading images of human subjects captured in the original video
to blend with the high-resolution imagery from the database. In
embodiments, the method further comprises providing the
high-resolution composite video to the visitor on a website or
within the application on the mobile computing device carried by
the visitor. In embodiments, the set of characteristics includes at
least one of location, orientation, lighting, and motion path
characteristics.
[0018] An aspect provided herein includes a method for providing
supplemental media to a visitor at a non-profit venue, comprising:
executing an application on a mobile computing device carried by
the visitor, which, when executed, performs the steps of: tracking
a specific path of the visitor through the venue using a set of
tracking systems; tracking locations where the visitor stopped and
waited; storing the specific path of the visitor on a remote
server; providing a digital map to the visitor on the mobile
computing device carried by the visitor; determining, from the
specific path of the visitor stored on the remote server, whether
or not the visitor had come into proximity of certain exhibits or
objects depicted on the digital map; and in response to the
determining, selectively allowing the visitor to view information
about the exhibits or objects on the digital map if the visitor had
come into proximity of the exhibits or the objects. In embodiments,
the information is selected from the group consisting of
high-resolution imagery, video, captioning, textual data, live
video feed, donation information, and combinations thereof. In
embodiments, the set of tracking systems includes a Radio Frequency
(RF) beacon, an access point, an Indoor Positioning System (IPS), a
Global Positioning System (GPS), a local proximity detection
system, a Quick Response (QR) code scanning system, or an image
recognition system. In embodiments, the local proximity detection
system includes at least one of a Near-Field Communication (NFC)
system, a Wi-Fi system, an RF system, a cellular system, an
Internet of Things (IoT) system, and a Bluetooth system. In
embodiments, the method further comprises selectively preventing
the visitor from viewing the information about the exhibits or the
objects on the digital map if the visitor had not come into
proximity of the exhibits or the objects.
[0019] Provided herein are methods and systems for providing
supplemental media to a visitor at a non-profit venue, comprising:
a software product running a program on a mobile computing device
carried by the visitor, which when the program is executed,
performs the steps of: analyzing photographs taken by the visitor;
accessing digital imagery from a database of high-resolution
imagery to identify a location in the venue of a set of exhibits
depicted in the photographs; creating archivable regions in stored
imagery allocated to the visitor; and allowing the visitor to
activate the archivable region to retrieve additional information
about the set of exhibits depicted in the photographs. In
embodiments, the additional information includes a call-to-action
allowing the visitor to participate in a fundraising campaign. In
embodiments, the additional information includes a call-to-action
allowing the visitor to share a fundraising campaign with an other
visitor. In embodiments, the additional information includes a
call-to-action allowing the visitor to provide personal information
or a photograph to be shared in a virtual wall relating to the set
of exhibits. In embodiments, the additional information is selected
from the group consisting of high-resolution imagery, video,
captioning, textual data, live video feed, donation information,
and combinations thereof. In embodiments, the additional
information includes suggestions of other exhibits popular with
people who took photographs of the exhibit.
[0020] An aspect provided herein includes an information technology
platform for personalizing an experience of a visitor at a
non-profit venue, the platform comprising: a network; a server in
communication with the network; a mobile device to be carried by
the visitor, the mobile device in communication with the server via
the network, wherein the platform determines personalized
information about the visitor; and a donation impact viewing system
for presenting media or information to the visitor based on a
photograph taken by a visitor, wherein the media or information
relates to the donation impact of a donation related to a point of
interest. In embodiments, the media or information depicts or is
related to the point of interest prior to donation efforts or
campaign initiation. In embodiments, media or information depicts
or is related to the point of interest upon completion of a
donation or campaign benchmark or goal. In embodiments, the media
or information depicts a status of a campaign with respect to
donation goals. In embodiments, the media or information is
presented to the visitor with a request for the visitor to
donate.
[0021] An aspect provided herein includes a method for providing a
visitor to a non-profit venue a campaign participation opportunity
based on an interaction of the visitor, comprising: executing a
program on a mobile computing device carried by the visitor, which,
when executed, performs the steps of: analyzing a path of the
visitor taken through the non-profit venue using a set of tracking
systems; recording the interaction of the visitor with a specific
venue exhibit associated with an ongoing campaign; retrieving a set
of target locations and multimedia hints from a server; displaying
the multimedia hints on the mobile computing device; confirming
that the visitor has arrived at least one target location in the
set of target locations; and conveying a reward notification to the
visitor in response to each target location that the program
confirmed as having been visited by the visitor. In embodiments,
the confirming that the visitor has arrived at least one target
location in the set of target locations, further comprises:
conveying a question to the visitor, wherein information for a
correct response to the question is located at the at least one
target location; receiving an input in response to the question
from the visitor via the mobile computing device; comparing the
input in response to the question from the visitor to a correct
answer received from the server; and verifying that the input in
response to the question from the visitor matches the correct
answer received from the server. In embodiments, the confirming
that the visitor has arrived at least one target location in the
set of target locations further comprises scanning a QR code using
a camera wherein the camera is located in the mobile computing
device. In embodiments, the confirming that the visitor has arrived
at least one target location in the set of target locations,
further comprises: accepting a picture of the at least one target
location taken on a camera wherein the camera is located in the
mobile computing device; and using image recognition to compare the
picture to an image retrieved from a server.
[0022] Provided herein is a system for reducing a wait time for a
visitor of a venue, comprising: a mobile application module running
on a mobile computing device carried by the visitor that
communicates with one or more wireless beacons or tracking systems
proximate to the venue while the visitor is at least one of
traveling to the venue and queuing to enter the venue; a
provisioning module for activating a portable digital guide; an
entry module running on a portable device for identifying and
checking-in visitors; and a notification module for notifying venue
workers, wherein the notification module is to automatically notify
the provisioning module to provision an available digital guide by
pre-filling the available digital guide with personalized visitor
information, and to notify at least one of the venue workers to
retrieve the digital guide and to meet the visitor where the
visitor is expected to enter the venue. In embodiments, the venue
is at least one of a museum and a zoo. In embodiments, the
notification module is to provide the venue worker with an image
and a name of the visitor, a coordinate of where the visitor is
expected to enter the venue, and at least one of a travel speed of
the visitor and an estimated time of arrival of the visitor at the
coordinate. In embodiments, the tracking system includes a Radio
Frequency (RF) beacon, an access point, an Indoor Positioning
System (IPS), a Global Positioning System (GPS), a local proximity
detection system, a Quick Response (QR) code scanning system, or an
image recognition system. In embodiments, the local proximity
detection system includes at least one of a Near-Field
Communication (NFC) system, a Wi-Fi system, an RF system, a
cellular system, an Internet of Things (IoT) system, and a
Bluetooth system.
[0023] Provided herein are methods and systems for developing
content for personalized museum, zoo or other non-profit venue
experiences for a mobile computing device comprising: providing an
interface for management of multimedia assets, receiving an
assignment of multimedia assets relating to specific physical
and/or virtual locations in one or more site plans, receiving
categorical and/or topical metadata to associate with multimedia
assets, providing an interface for receipt of personalized interest
data for a museum visitor including visitor-provided preference
data and/or passively-collected visitor interaction data, and
applying a machine learning algorithm to analyze the metadata and
the personalized interest data for a plurality of visitors to
provide a sequence and/or selection of multimedia assets for
consumption by a museum visitor. In embodiments, an interactive
multimedia asset is assigned to use an audio, visual, tactile, or
movement capture device in communication with the mobile computing
device.
[0024] An aspect provided herein includes a method for developing
content for personalized non-profit venue experiences using a
mobile device, comprising: providing a management interface for
management of a set of multimedia assets; receiving a mapping of
multimedia assets to a set of locations on a set of site plans for
the venue; receiving topical metadata for the set of multimedia
assets; providing an interface for receiving data indicating
personal philanthropic interests of a visitor to the venue, wherein
the data indicating personal philanthropic interests of the visitor
to the venue includes visitor-provided preference data and
passively-collected visitor interaction data; and applying a
machine learning system to analyze the metadata and the data
indicating personal philanthropic interest of the visitor to
provide a sequence or a selection of multimedia assets for
consumption by the visitor. In embodiments, the machine learning
system assembles a sequence or selection based at least in part on
a personal route taken by the visitor through at least one of the
site plans in the set of site plans. In embodiments, the machine
learning system generates a memory book for the visitor subsequent
to a visit to the venue, wherein the memory book is based in part
on a personal route taken by the visitor through at least one of
the site plans in the set of site plans. In embodiments, a web
interface is to give the visitor access to the memory book. In
embodiments, a mobile app is to give the visitor access to the
memory book. In embodiments, the machine learning system assembles
a sequence or selection based at least in part on visitor
selections made at the venue. In embodiments, at least one of the
multimedia assets is an interactive multimedia asset. In
embodiments, the interactive multimedia asset is assigned to use an
audio, visual, tactile, or movement capture device associated with
a location in the venue. In embodiments, the management interface
further provides an interface for creating an interactive campaign,
wherein information about the interactive campaign is displayed at
a plurality of locations or sites, wherein the information about
the interactive campaign is displayed simultaneously at the
plurality of locations or sites, and wherein visitors at the
plurality of locations or sites have access to real-time
interaction or real-time communication with each other. In
embodiments, a mode of the real-time communication is selected from
the group consisting of audio conferencing, video conferencing,
virtual reality conferencing, collaborative text chat, holographic
conferencing, and combinations thereof. In embodiments, at least
one location in the set of locations on the set of site plans is
associated with a wireless beacon. In embodiments, the management
interface further provides a heat map showing paths of visitors
through the venue. In embodiments, the management interface further
provides an interface for creating a plurality of templates for
multimedia asset selections or sequences. In embodiments, the
management interface further provides an interface for creating an
interactive campaign related to at least one location in the set of
locations on the set of site plans for the venue.
[0025] In embodiments, the management interface further provides an
interface for associating a live feed of multimedia to a site plan.
In embodiments, the management interface further provides an
interface for creating an interactive campaign and displaying
multimedia to convey a degree of progress towards a goal in the
interactive campaign. In embodiments, the management interface
further provides an interface for designing interactive content. In
embodiments, the management interface further provides for the
development of different assets for location-based kiosks and
mobile applications. In embodiments, the management interface
further provides for a simultaneous development of content for a
plurality of venues. In embodiments, the machine learning system
generates a memory book for the visitor subsequent to a visit to
the venue, wherein the memory book has digital assets coordinated
in part based on a personal route taken by the visitor through at
least one of the site plans in the set of site plans, or wherein
the memory book has digital assets coordinated in part based on
visitor input.
[0026] An aspect provided herein includes a method for providing
personalized venue visit recommendations to a visitor at a
non-profit venue, comprising: providing a management interface for
management of a set of multimedia assets; receiving a mapping of
multimedia assets to specific physical or virtual displays in at
least one site plan; receiving topical metadata for the set of
multimedia assets; providing an interface for receiving data
indicating personal interests of a visitor to the venue, wherein
the data indicating personal interests of the visitor to the venue
includes visitor-provided preference data and passively-collected
visitor interaction data; receiving personal interest data for a
plurality of venue visitors; receiving preference data relating to
a prospective visitor; applying a machine learning system to
analyze the metadata, the data indicating personal interests of the
visitor, the personal interest data for the plurality of venue
visitors, and the preference data relating to the prospective
visitor; and generating a selection or sequence of venue location
recommendations for the prospective visitor. In embodiments, the
machine learning system assembles a sequence or selection based at
least in part on visitor selections made at the venue. In
embodiments, the machine learning system generates recommendations
based at least in part on a donation history of the prospective
visitor. In embodiments, the machine learning system generates
recommendations based at least in part on a donation history of
visitors with similar interests to the prospective visitor. In
embodiments, the management interface further provides an interface
for creating an interactive campaign, wherein information about the
interactive campaign is displayed at multiple locations or sites,
wherein the information about the interactive campaign is displayed
simultaneously at the multiple locations or sites, and wherein a
visitor at one of the multiple locations or sites can interact or
communicate with at least one other visitor at least one other
location or site in real time. In embodiments, the real-time
communication is selected from the group consisting of audio
conferencing, video conferencing, virtual reality conferencing,
collaborative text chat, holographic conferencing, and combinations
thereof. In embodiments, the venue locations are associated with
corresponding wireless beacons.
[0027] An aspect provided herein includes a method for developing
recommendations for a personalized venue visit at a non-profit
venue, comprising: providing a management interface for management
of a set of multimedia assets; receiving a mapping of multimedia
assets to specific physical or virtual displays in at least one
site plan; receiving topical metadata for the set of multimedia
assets; providing an interface for receiving data indicating
personal interests of a visitor to the venue, wherein the data
indicating personal interests of the visitor to the venue includes
a set of data selected from among visitor-provided preference data,
passively-collected visitor interaction data, and visitor route
data; receiving personal interest data for a plurality of venue
visitors; receiving preference data relating to a prospective
visitor; applying a machine learning system to analyze the
metadata, the data indicating personal interests of the visitor,
the personal interest data for the plurality of venue visitors, and
the preference data relating to the prospective visitor; and
generating a selection or sequence of venue location
recommendations for the prospective visitor. In embodiments, the
personal interest data is collected from visitor visits across a
plurality of non-profit venues. In embodiments, the preference data
relating to the prospective visitor is collected for multiple
venues. In embodiments, the preference data relating to the
prospective visitor is collected at a non-profit venue. In
embodiments, the preference data relating to the prospective
visitor is derived from information collected on the prospective
visitor based on a prior visit by the prospective visitor to a
non-profit venue. In embodiments, the preference data relating to
the prospective visitor is derived from information collected on
the prospective visitor based on the route data of the prospective
visitor through a non-profit venue during a previous visit to the
non-profit venue. In embodiments, the preference data for the
prospective visitor is collected using a mobile application. In
embodiments, the preference data for the prospective visitor is
collected based on indications of interest. In embodiments, the
indications of interest are collected through gaze analysis. In
embodiments, the indications of interest are collected through
visual analysis via a plurality of cameras. In embodiments, the
indications of interest are provided by the prospective visitor. In
embodiments, the preference data for the prospective visitor is
generated from visitor information collected from a visitor
unrelated to the non-profit venue. In embodiments, the visitor
route data is collected using a mobile application. In embodiments,
the visitor route data is collected using wireless beacons. In
embodiments, the visitor route data is collected using cameras. In
embodiments, the visitor route data is collected using biometric
sensors. In embodiments, the visitor route data is collected using
a sensor network. In embodiments, the visitor route data is
collected by tracking visitor interaction with venue displays. In
embodiments, the visitor route data is collected by tracking
visitor use of a venue guide device.
[0028] Provided herein are methods and systems for coordinating
personalized experiences between cooperating non-profit venues,
comprising: identifying a visitor to a current venue using an
authentication system in a mobile application; displaying an
interface of multimedia available in specific physical or virtual
displays in site plans from a plurality of non-profit venues;
accessing multimedia assets relating to specific physical or
virtual displays in one or more site plans; accessing categorical
or topical metadata to associate with the multimedia assets;
collecting personalized interest data relating to the visitor to at
least one of the non-profit venues, the personalized interest data
including visitor-provided preference data, passively-collected
visitor interaction data, and visitor route data; and providing a
selection or sequence of venue location recommendations for the
visitor that include recommendations and multimedia relating to an
other venue different from the current venue. In embodiments,
personalized interest data is collected from visits by the visitor
to multiple non-profit venues using a plurality of capture devices.
In embodiments, the personalized interest data is collected using a
mobile application. In embodiments, the personalized interest data
is collected using wireless beacons. In embodiments, the
personalized interest data is collected using cameras. In
embodiments, the personalized interest data is collected using
biometric sensors. In embodiments, the personalized interest data
is collected using a sensor network. In embodiments, the
personalized interest data is collected by tracking visitor
interaction with venue displays. In embodiments, the personalized
interest data is collected by tracking visitor use of a venue guide
device. In embodiments, the preference data for the prospective
visitor is generated from visitor information collected from the
visitor unrelated to the cooperating non-profit venues.
[0029] Provided herein are methods and systems for creating
content-oriented personalized multi-venue non-profit venue
experiences, comprising: accessing a list of multimedia assets
relating to specific physical or virtual exhibits from a plurality
of non-profit venues; receiving categorical or topical metadata to
associate with the multimedia assets; receiving personalized
interest data for a visitor to at least one of the non-profit
venues, the personalized interest data including visitor-provided
preference data, passively-collected visitor interaction data, and
visitor route data; receiving personalized interest data for a
plurality of non-profit venue visitors relating to multiple
non-profit venues for each visitor; receiving preference data
relating to a category of non-profit venue visitor; applying a
machine learning algorithm to analyze the metadata, the
personalized interest data, and the preference data relating to the
category of non-profit venue visitor; and generating a
recommendation of a sequence of multimedia exhibits, wherein a
first portion of the sequence relates to a first non-profit venue,
and a second portion of the sequence relates to a second non-profit
venue. In embodiments, the personalized interest data is collected
from visits by visitors across multiple venues using a plurality of
capture devices. In embodiments, the personalized interest data is
collected using a mobile application. In embodiments, the
personalized interest data is collected using a wireless beacon. In
embodiments, the personalized interest data is collected using a
camera. In embodiments, the personalized interest data is collected
using a biometric sensor. In embodiments, the personalized interest
data is collected using a sensor network. In embodiments, the
personalized interest data is collected by tracking a visitor
interaction with a venue display. In embodiments, the personalized
interest data is collected by tracking a use by a visitor of a
venue guide device. In embodiments, the machine learning system
assembles a sequence or selection based at least in part on a
personal route taken by the visitor through one or more site plans.
In embodiments, the machine learning system assembles a sequence or
selection based in part on a selection made by the visitor at a
venue location.
[0030] Provided herein are methods and systems for cross-venue
referral for a visitor to a non-profit venue in a group of
cooperating non-profit venues, comprising: receiving personalized
interest data from among a set of visitor-provided preference data,
passively-collected visitor interaction data, and visitor route
data for a plurality of visitors to non-profit venues across a
plurality of non-profit venues; receiving preference data relating
to a specific set of visitors; applying a machine learning
algorithm to analyze the personalized interest data and the
preference data relating to the specific set of visitors; and
generating a recommendation of a selection or sequence of
non-profit venue location recommendations for the specific set of
visitors relating to at least a portion of the plurality of the
non-profit venues. In embodiments, the recommendation includes a
promotion or discount to attend an other non-profit venue. In
embodiments, the recommendation is provided to the specific set of
visitors via a medium selected from the group consisting of email,
push messaging, virtual reality, mobile applications, augmented
reality, a museum kiosk, an audio interface, and combinations
thereof. In embodiments, the recommendation is based in part on the
contribution history of the specific set of visitors. In
embodiments, the venues in the group of cooperating non-profit
venues are classified into categories, and wherein preference data
for a prospective set of visitors to a venue in a first category is
collected from a set of visitors to an other venue in an other
category of venues.
[0031] Provided herein are methods and systems for automating
content selection for a personalized non-profit venue experience,
comprising: accessing a list of multimedia assets relating to
specific physical or virtual displays in at least one site plan;
receiving categorical or topical metadata to associate with the
multimedia assets; receiving personalized interest data for a venue
visitor selected from among visitor-provided preference data,
passively-collected visitor interaction data, and visitor route
data; receiving personalized interest data for a plurality of venue
visitors relating to multiple non-profit venues for each visitor;
receiving preference data relating to a prospective venue visitor;
applying a machine learning algorithm to analyze the metadata, the
venue visitor data and the prospective visitor data, and generating
a selection or sequence of venue location recommendations for the
prospective visitor. In embodiments, the personalized interest data
is collected from visits by the visitor to multiple non-profit
venues using a plurality of capture devices. In embodiments, the
personalized interest data is collected using a mobile application.
In embodiments, the personalized interest data is collected using a
wireless beacon. In embodiments, the personalized interest data is
collected using a camera. In embodiments, the personalized interest
data is collected using a biometric sensor. In embodiments, the
personalized interest data is collected using a sensor network. In
embodiments, the personalized interest data is collected by
tracking a visitor interaction with a venue display. In
embodiments, the personalized interest data is collected by
tracking a use by a visitor of a venue guide device. In
embodiments, the multiple non-profit venues are classified into
categories, and preference data for a prospective visitor to a
venue in a first category is collected from a visitor to an other
venue in an other category of venues disrelated from the first
category.
[0032] Provided herein are methods and systems for providing a
coordinated experience for a visitor to a non-profit venue in a
group of cooperating non-profit venues, comprising: providing an
interface for management of multimedia assets; receiving an
assignment of multimedia assets relating to specific physical or
virtual displays in one or more site plans; receiving categorical
or topical metadata to associate with multimedia assets; providing
an interface for receipt of personalized interest data for a
visitor to a venue, including data selected from among
visitor-provided preference data, passively-collected visitor
interaction data, and visitor route data; receiving personalized
interest data for a plurality of visitors to non-profit venues
relating to multiple non-profit venues for each visitor; applying a
machine learning algorithm to analyze the multimedia and the
personalized interest data for the plurality of visitors; and
generating a plurality of generic visitor profiles and a
corresponding plurality of selection or sequence of venue location
recommendations. In embodiments, the management interface further
provides a heat map showing paths of visitor through the non-profit
venue. In embodiments, the heat map is further segmented according
to the generic visitor profiles. In embodiments, the personalized
interest data is collected from visits by visitors across multiple
venues using a plurality of capture devices. In embodiments, the
personalized interest data is collected using a mobile application.
In embodiments, the personalized interest data is collected using a
wireless beacon. In embodiments, the personalized interest data is
collected using a camera. In embodiments, the personalized interest
data is collected using a biometric sensor. In embodiments, the
personalized interest data is collected using a sensor network. In
embodiments, the personalized interest data is collected by
tracking a visitor interaction with a venue display. In
embodiments, the personalized interest data is collected by
tracking a use by a visitor of a venue guide device. In
embodiments, the machine learning system assembles a sequence or
selection based at least in part on a personal route taken by the
visitor through one or more site plans. In embodiments, the machine
learning system assembles a sequence or selection based in part on
a selection made by the visitor at a venue location. In
embodiments, the multimedia assets are interactive. In embodiments,
an interactive multimedia asset is assigned to use an audio,
visual, tactile, or movement capture device associated with a
location in the venue. In embodiments, the management interface
further provides an interface for creating an interactive campaign,
information about the interactive campaign is displayed at a
plurality of locations or sites, the information about the
interactive campaign is displayed simultaneously at the plurality
of locations or sites, and visitors at the plurality of locations
or sites have access to real-time interaction or real-time
communication with each other. In embodiments, a mode of the
real-time communication is selected from the group consisting of
audio conferencing, video conferencing, virtual reality
conferencing, collaborative text chat, holographic conferencing,
and combinations thereof. In embodiments, the venue locations in
the site plans are associated with a wireless beacon.
[0033] An aspect provided herein includes a method for providing a
visitor to a non-profit venue a campaign participation opportunity
based on an interaction of the visitor, comprising: executing a
program on a mobile computing device carried by the visitor, which,
when executed performs the steps of: analyzing a path of the
visitor taken through the non-profit venue using a set of tracking
systems; in response to detecting that the visitor interaction with
the specific venue exhibit exceeds a threshold, providing a visitor
vector to a recommendation engine, wherein the visitor vector
includes data indicating that the visitor has shown interest in the
campaign; using results output by the recommendation engine,
matching the visitor to an other visitor interested in
participating in a similar campaign; and presenting a relevant
call-to-action to the visitor to communicate with the other visitor
via the program. In embodiments, communication between the visitor
and the other visitor facilitates a sponsorship relationship
between the visitor and the other visitors. In embodiments, the
visitor is presented with a list of potential other visitors along
with additional information about the other visitors and goals for
the other visitors for the campaign. In embodiments, the other
visitor is selected by the visitor from a list of potential
campaign participants. In embodiments, the other visitor is
selected by the program from a list of potential campaign
participants. In embodiments, the campaign is selected from the
group consisting of a translation project, a clean water project,
an education project, a building project, a missionary project, a
disaster relief project, a restoration project, an acquisition
project and combinations thereof. In embodiments, the recorded
interaction of the visitor with the specific venue exhibit
associated with the ongoing campaign is analyzed based on video
taken of a face of the visitor. In embodiments, the recorded
interaction of the visitor with the specific venue exhibit is
analyzed using visual affect detection. In embodiments, the
call-to-action is selected from a group consisting of a request for
a donation, a request for subscription, a request to share on
social media, a request to provide metadata about the visitor for
display on an endorsement, a request to share the campaign with
others, a request to be contacted further, a request to donate on
behalf of another, a request to sponsor an other campaign
participant, a request for sponsorship by an other visitor to
participate in a campaign. In embodiments, the program
automatically queries a sponsored visitor to request an update on
participation by the sponsored visitor in the campaign. In
embodiments, the campaign has specific actions and the program
queries a sponsored visitor whether the sponsored visitor has
completed the specific actions. In embodiments, the steps further
include the step of automatically subscribing the visitor to an
ongoing email or push-messaging update about a status of the
campaign. In embodiments, the ongoing email or push-messaging
update provides a specific update on a sponsored visitor, wherein
the visitor subscribed to the update is a sponsor of the sponsored
visitor, and wherein the update includes a status of completion of
specific actions by the sponsored visitor.
[0034] An aspect provided herein includes a method for providing a
visitor to a non-profit venue a campaign participation opportunity
based on an interaction of the visitor, comprising: executing a
program on a mobile computing device carried by the visitor, which,
when executed, performs the steps of: analyzing a path of the
visitor taken through the non-profit venue using a set of tracking
systems; recording the interaction of the visitor with a specific
venue exhibit associated with an ongoing campaign; in response to
detecting that the visitor interaction with the specific venue
exhibit exceeds a threshold, providing a visitor vector to a
recommendation engine, wherein the visitor vector includes data
indicating that the visitor has shown interest in the specific
venue exhibit associated with the campaign; and using results
output by the recommendation engine, presenting a relevant
call-to-action to the visitor to direct a portion of funds
contributed by the visitor to the campaign in which the visitor has
shown interest. In embodiments, the funds contributed by the
visitor include a contribution in exchange for admission to the
venue, and, in response to the contribution in exchange for
admission, the visitor is given authority to direct a virtual
credit to the campaign in further response to the relevant
call-to-action. In embodiments, the steps further include
communicating with a retail point-of-sale system, wherein the
retail point-of-sale system presents the relevant call-to-action to
the visitor, wherein the point-of-sale system allocates a portion
of funds received from the visitor by the point-of-sale system to
the campaign in response to instructions from the visitor. In
embodiments, the instructions include communicating a selection via
the point-of-sale system. In embodiments, the instructions include
communicating a selection via the mobile computing device. In
embodiments, the mobile computing device includes a digital guide.
In embodiments, the steps further include communicating with the
visitor via a website or mobile app, wherein the visitor is outside
of the venue after the visitor has exited the venue after the
visitor has visited the venue; and the website or mobile app
presents the relevant call-to-action to the visitor, wherein the
website or mobile app allocates a portion of the funds contributed
by the visitor to the campaign in response to instructions from the
visitor entered via the website or mobile app. In embodiments, the
steps further include communicating with the visitor via a website
or mobile app, wherein the visitor is outside of the venue before
the visitor has entered the venue before the visitor has visited
the venue; and the website or mobile app presents the relevant
call-to-action to the visitor, wherein the website or mobile app
allocates a portion of the funds contributed by the visitor to the
campaign in response to instructions from the visitor entered via
the website or mobile app. In embodiments, the campaign is selected
from the group consisting of a translation project, a clean water
project, an education project, a building project, a missionary
project, a disaster relief project, a restoration project, an
acquisition project and combinations thereof. In embodiments, the
recorded interaction of the visitor with the specific venue exhibit
associated with the ongoing campaign is analyzed based on video
taken of a face of the visitor. In embodiments, the recorded
interaction of the visitor with the specific venue exhibit is
analyzed using visual affect detection. In embodiments, the
call-to-action is selected from the group consisting of a request
for a donation, a request for subscription, a request to share on
social media, a request to provide metadata about the visitor for
display on an endorsement, a request to share the campaign with
others, a request to be contacted further, a request to donate on
behalf of another, a request to sponsor an other campaign
participant, a request for sponsorship by an other visitor to
participate in a campaign.
[0035] An aspect provided herein includes a method for providing
supplemental media to a visitor at a non-profit venue, comprising:
executing an application on a mobile computing device carried by
the visitor, which, when executed, performs the steps of: tracking
a specific path of the visitor through the venue using wireless
beacons; tracking locations where the visitor stopped and waited;
storing the specific path of the visitor on a remote server;
providing a digital map to the visitor on the mobile computing
device carried by the visitor; determining, from the specific path
of the visitor stored on the remote server, whether or not the
visitor had come into proximity of certain exhibits or objects
depicted on the digital map; and automatically assembling a
multimedia presentation summarizing specific portions of the venue
that the visitor visited and presenting the multimedia presentation
to the visitor. In embodiments, the multimedia presentation is
presented in an application running on the mobile computing device
carried by the user. In embodiments, the multimedia presentation is
emailed to the visitor. In embodiments, the multimedia presentation
is in the form of an audio summary provided via a voice agent
system. In embodiments, the multimedia presentation is delivered on
a kiosk in the venue. In embodiments, the multimedia includes
additional information about the exhibits the user has visited that
was not presented at those exhibits. In embodiments, the specific
portions of the venue where the visitor stopped and waited are
added to a bookmark list. In embodiments, the multimedia
presentation includes additional multimedia for the portions of the
venue that the visitor visited. In embodiments, the steps further
include the step of automatically subscribing the visitor to an
ongoing email or push-messaging update about a status of the
specific portions of the venue on the bookmark list. In
embodiments, the update includes information about additions,
changes, an annotation by an other visitor, an observation by the
other visitor, or an event regarding the specific portions of the
venue on the bookmark list.
[0036] In embodiments, methods and systems for personalizing
visitor experience at a museum, zoo or other non-profit venue
include providing opportunities to the visitors to solicit
engagement of other visitors of similar interests based on their
interaction. The opportunities are provided by a software product
running a program on the mobile computing device carried by the
visitor, which when executed performs the methods of: analyzing the
path of the visitor taken through the venue, such as using RF
beacons or other tracking systems, recording the interactions of
the visitor with specific exhibits that are associated with an
ongoing campaign, upon receiving input by a visitor to create a
campaign related to an exhibit, providing the visitor with an
interface to create a new campaign and provide information about
the campaign, uploading the campaign to a server, displaying
information about the campaign on a display device in proximity to
the exhibit, providing the information as an input to a
recommendation engine, using the results of the recommendation
engine, and presenting a relevant call-to-action to a second
visitor to participate in the campaign.
[0037] Methods and systems are provided herein for personalizing an
experience of a visitor at a venue that displays results of a
plurality of projects supported by philanthropy. Such methods and
systems include determining personalized information of the
visitor; providing the personalized information as a visitor
profile to a recommendation engine; and using the recommendation
engine, suggesting personalized experiences for the visitor,
wherein suggesting personalized experiences for the visitor
includes providing a recommendation to direct the visitor to a
physical location where the visitor is to be presented with a
donation opportunity for a project that is determined by the
recommendation engine to be of interest to the visitor based on the
visitor profile. In embodiments, the venue is at least one of a
museum and a zoo. In embodiments, the personalized information
includes location information of the visitor in the venue. In
embodiments, the location information includes a dwell time by the
visitor at a set of locations at the venue. The methods and systems
may further comprise using the location information for a plurality
of locations physically visited by the visitor in the venue,
automatically assembling a multimedia presentation containing
content relating to the specific portions of the venue that were
visited by the visitor. As used herein, a "physically visited"
means that the visitor was bodily present at the geographical
location of the venue. Physical visitation is distinguished from
virtual visitation. In virtual visitation, a website may be viewed,
or a virtual reality experience may be used to simulate a physical
visitation. In embodiments, the profile of the visitor is derived
at least in part by analyzing the contents of photographs taken by
the visitor within the venue. In embodiments identifying
personalized information of the visitor includes capturing visitor
data using a plurality of capture devices selected from the group
consisting of smartphones, cameras, biometric sensors, wireless
beacons and sensor networks and combinations thereof.
[0038] Methods and systems provided herein include a system for
providing, to a visitor of a venue a campaign participation
opportunity based on interactions within the venue, including a
path tracking system for determining a path of the visitor taken
through the venue; an interaction tracking system for determining
at least one interaction of the visitor with at least one exhibit
that is associated with an ongoing campaign; and a recommendation
engine for processing the interaction to provide a recommendation
for an action related to the campaign. In embodiments, upon
detecting that an interaction by the visitor with a specific
exhibit exceeds a threshold level of interaction, the interaction
information is provided to the recommendation engine. "A
recommendation for an action" may also be referred to herein as a
"call-to-action." In embodiments, the recommendation engine
provides a relevant call-to-action to the visitor to participate in
a campaign that is related to the specific exhibit for which the
interaction was tracked. In embodiments, the venue is a museum. In
embodiments, the venue is a zoo. In embodiments, tracking
interactions of the visitor with an exhibit include recording video
of the face of the visitor and using a machine learning system to
analyze interactions based on the video of the visitor's face to
determine a sentiment of the visitor with respect to the exhibit.
In embodiments, the campaign is selected from charitable projects
in the group consisting of a translation project, a clean water
project, an education project, a building project, a missionary
project, a disaster relief project, a restoration project, an
acquisition project, and combinations thereof. In embodiments, the
call-to-action presented to the visitor is selected from a group
consisting of a request for donation, a request for subscription, a
request to share on social media, a request to provide metadata
about the visitor for display on an endorsement, a request to share
the campaign with others, a request to provide permission to be
contacted further, a request to donate on behalf of another, a
request to sponsor another campaign participant, a request for
sponsorship by another to participate in the campaign, and
combinations thereof.
[0039] An aspect provided herein includes an information technology
platform for personalizing an experience of a visitor at a
non-profit venue, the platform comprising: a network; a server in
communication with the network; a mobile device to be carried by
the visitor, the mobile device in communication with the server via
the network, wherein the platform determines personalized
information about the visitor; a recommendation engine included in
the server, wherein the recommendation engine is to receive the
personalized information about the visitor and to output a
suggestion for a personalized experience for the visitor, wherein
the platform conveys the suggestion for the personalized experience
to the visitor, wherein the personalized experience is to encourage
philanthropic activity; and a machine learning system for learning
on a training set of photographic data or video data, the learning
to train the machine learning system to predict a sentiment of the
visitor based, at least in part, on photographic images or video
images that are taken by the visitor, that are shared to the
visitor, that are shared by the visitor or that include the visitor
as a subject. In embodiments, the machine learning system analyzes
facial expressions and body language cues to predict the sentiment
of the visitor. In embodiments, the information technology platform
further comprises: a camera in selectable communication with the
server via the network, the camera to capture video or still images
of the visitor. In embodiments, the camera is located in the mobile
device. In embodiments, the camera is affixed to a location to
capture the video or still images of the visitor when the visitor
is at a predetermined location within the non-profit venue.
[0040] An aspect provided herein includes an information technology
platform for personalizing an experience of a visitor at a
non-profit venue, the platform comprising: a network; a server in
communication with the network; a mobile device to be carried by
the visitor, the mobile device in communication with the server via
the network, wherein the platform determines personalized
information about the visitor; a recommendation engine included in
the server, wherein the recommendation engine is to receive the
personalized information about the visitor and to output a
suggestion for a personalized experience for the visitor, wherein
the platform conveys the suggestion for the personalized experience
to the visitor, wherein the personalized experience is to encourage
philanthropic activity; and a machine learning system for learning
on a training set of data, the learning to train the machine
learning system to predict a personal philanthropic interest of the
visitor based on the personalized information about the visitor. In
embodiments, the information technology platform further includes
an interface on the mobile device to receive personalized
philanthropic interest data regarding the visitor, wherein the
mobile device communicates the personalized philanthropic interest
data to the machine learning system as at least part of the
personalized information about the visitor. In embodiments, the
personalized information about the visitor is determined at least
in part by tracking an interaction of the visitor with an exhibit
in the venue. In embodiments, tracking the interaction includes
tracking a dwell time of the visitor at a location within the
non-profit venue. In embodiments, the personalized information
about the visitor is determined at least in part by processing
social media information of the visitor based on an identity of the
visitor.
[0041] An aspect provided herein includes an information technology
platform for personalizing an experience of a visitor at a
non-profit venue, the platform comprising: a network; a server in
communication with the network; a mobile device to be carried by
the visitor, the mobile device in communication with the server via
the network, wherein the platform determines personalized
information about the visitor; a recommendation engine included in
the server, wherein the recommendation engine is to receive the
personalized information about the visitor and to output a
suggestion for a personalized experience for the visitor, wherein
the platform conveys the suggestion for the personalized experience
to the visitor, wherein the personalized experience is to encourage
philanthropic activity; and a machine learning system for learning
on a training set of data, the learning to train the machine
learning system to predict a donation classification of the visitor
based on the personalized information about the visitor, wherein
the donation classification of the visitor is based, at least in
part, on a capacity of the visitor to donate or a propensity for
the visitor to donate. In embodiments, the information technology
platform further includes an interface on the mobile device to
receive personalized philanthropic interest data regarding the
visitor, wherein the mobile device communicates the personalized
philanthropic interest data to the machine learning system as at
least part of the personalized information about the visitor. In
embodiments, the personalized information about the visitor is
determined at least in part by tracking an interaction of the
visitor with an exhibit in the venue. In embodiments, tracking the
interaction includes tracking a dwell time of the visitor at a
location within the non-profit venue. In embodiments, the
personalized information about the visitor is determined at least
in part by processing social media information of the visitor based
on an identity of the visitor.
[0042] An aspect provided herein includes an information technology
platform for personalizing an experience of a visitor at a
non-profit venue, the platform comprising: a network; a server in
communication with the network; a mobile device to be carried by
the visitor, the mobile device in communication with the server via
the network, wherein the platform determines personalized
information about the visitor; a recommendation engine included in
the server, wherein the recommendation engine is to receive the
personalized information about the visitor and to output a
suggestion for a personalized experience for the visitor, wherein
the platform conveys the suggestion for the personalized experience
to the visitor, wherein the personalized experience is to encourage
philanthropic activity; and a machine learning system for learning
on a training set of data, the learning to train the machine
learning system to predict a recommended donation amount for the
visitor based on the personalized information about the visitor. In
embodiments, the information technology platform further includes
an interface on the mobile device to receive personalized
philanthropic interest data regarding the visitor, wherein the
mobile device communicates the personalized philanthropic interest
data to the machine learning system as at least part of the
personalized information about the visitor. In embodiments, the
personalized information about the visitor is determined at least
in part by tracking an interaction of the visitor with an exhibit
in the venue. In embodiments, tracking the interaction includes
tracking a dwell time of the visitor at a location within the
non-profit venue. In embodiments, the personalized information
about the visitor is determined at least in part by processing
social media information of the visitor based on an identity of the
visitor.
[0043] An aspect provided herein includes an information technology
platform for personalizing an experience of a visitor at a
non-profit venue, the platform comprising: a network; a server in
communication with the network; a mobile device to be carried by
the visitor, the mobile device in communication with the server via
the network, wherein the platform determines personalized
information about the visitor; a recommendation engine included in
the server, wherein the recommendation engine is to receive the
personalized information about the visitor and to output a
suggestion for a personalized experience for the visitor, wherein
the platform conveys the suggestion for the personalized experience
to the visitor, wherein the personalized experience is to encourage
philanthropic activity; and an analytics system to predict a
personalized philanthropic potential for the visitor based on the
personalized information about the visitor. In embodiments, the
information technology platform further includes an interface on
the mobile device to receive personalized philanthropic interest
data regarding the visitor, wherein the mobile device communicates
the personalized philanthropic interest data to the analytics
system as at least part of the personalized information about the
visitor. In embodiments, the personalized information about the
visitor is determined at least in part by tracking an interaction
of the visitor with an exhibit in the venue. In embodiments,
tracking the interaction includes tracking a dwell time of the
visitor at a location within the non-profit venue. In embodiments,
the personalized information about the visitor is determined at
least in part by processing social media information of the visitor
based on an identity of the visitor.
[0044] Methods and systems provided herein include methods and
systems for developing content for personalized non-profit venue
experiences using a mobile device, including providing an interface
for management of a set of multimedia assets; receiving a mapping
of multimedia assets to a set of locations on a site plan for the
venue; receiving topical metadata for the set of multimedia assets;
receiving personalized interest data indicating personal
philanthropic interests of a visitor to the venue; and applying a
machine learning algorithm to analyze the metadata and the
personalized interest data to provide a selection of multimedia
assets from the set of multimedia assets for consumption by the
visitor. In embodiments, the venue is at least one of a museum and
a zoo. In embodiments, the selection of multimedia assets is
provided as a sequence of locations as a route based on the
locations of the multimedia assets on the site plan. In
embodiments, the personal philanthropic interests of the visitor
are determined at least in part by providing an interface on the
mobile device for receipt of personalized philanthropic interest
data for the visitor to the venue when the visitor uses the mobile
device. In embodiments, the personal philanthropic interests of the
visitor are determined at least in part by tracking an interaction
of the visitor with an exhibit in the venue. In embodiments,
tracking the interactions include tracking a dwell time of the
visitor at a location on the site plan. In embodiments, the
personal philanthropic interests of the visitor are determined at
least in part by processing social media information of the visitor
based on an identity of the visitor. In embodiments, the machine
learning algorithm assembles a sequence of multimedia assets based
at least in part on the personal route taken by the visitor through
the site plan for the venue. In embodiments, the machine learning
algorithm assembles a sequence based at least in part on selections
made by the visitor on a mobile computing device. In embodiments,
at least one of the set of multimedia assets is interactive.
[0045] In embodiments, at least one of the interactive multimedia
assets is configured to initiate tracking of at least one of an
audio, visual, tactile, and movement action of the visitor by the
mobile computing device when the visitor comes within a defined
proximity to the multimedia asset. In embodiments, the interface
for management further provides an interface for creating a
campaign wherein information about a campaign is displayed at a
location of a multimedia asset, wherein the multimedia asset is
related to the campaign. In embodiments, the information about the
campaign is to enable a multimedia interaction to promote the
campaign in response to the mobile device being detected in
proximity to the multimedia asset, and wherein the visitor uses
mobile device. In embodiments, the multimedia interaction is
selected from the group consisting of audio conferencing, video
conferencing, virtual reality conferencing, collaborative text
chat, holographic conferencing, and combinations thereof. In
embodiments, the interface for management further provides a heat
map showing paths of a plurality of visitors through the venue. In
embodiments, the interface for management further provides an
interface for creating an interactive campaign related to a
location on the site plan.
[0046] An aspect provided herein includes an information technology
platform for personalizing an experience of a visitor at a
non-profit venue, the platform comprising: a network; a server in
communication with the network; a mobile device to be carried by
the visitor, the mobile device in communication with the server via
the network, wherein the platform determines personalized
information about the visitor; and a recommendation engine included
in the server, wherein the recommendation engine is to receive the
personalized information about the visitor and to output a
suggestion for a personalized experience for the visitor, wherein
the platform conveys the suggestion for the personalized experience
to the visitor, wherein the personalized experience is to encourage
philanthropic activity. In embodiments, the platform further
comprises: a ticketing system to generate credentials for
authorizing entry of the visitor into the venue. In embodiments,
the credentials are selected from the group consisting of
passcodes, tangible media tokens, E-tickets, mobile tickets,
biometric data, behavioral data and combinations thereof. In
embodiments, the mobile tickets are selected from the group
consisting of a mobile barcode, a QR code, an Aztec barcode, Near
Field Communication (NFC), Bluetooth low energy and combinations
thereof. In embodiments, the credentials are delivered to the
visitor via mail, e-mail, text message, or a mobile application. In
embodiments, the credentials are presented to the platform by
transferring the tangible media token, electronic communication,
display, biological presence or behavioral manifestation of the
visitor. In embodiments, the biometric data is selected from the
group consisting of a biological image; a fingerprint; genetic
data; a palm print; palm veins; an iris image; a retina image; a
scent; heart rhythm; and voice data. In embodiments, the behavioral
data is selected from the group consisting of a gesture, typing
rhythm, gait and combinations thereof.
[0047] In embodiments, the information technology platform further
comprises: a mobile application for accessing the platform by the
visitor or by a prospective visitor. In embodiments, the
information technology platform further comprises: a web client for
accessing the platform by the visitor or by a prospective visitor.
In embodiments, the information technology platform further
comprises: an application programming interface. In embodiments,
the information technology platform further comprises: a software
development kit for creating applications for the platform.
[0048] In embodiments, the information technology platform further
comprises: a management system for managing the platform. In
embodiments, the information technology platform further comprises:
a management interface for accessing the management system. In
embodiments, the management interface is for creating an
interactive campaign; information about the campaign is displayed
at multiple locations or sites via the management interface; the
information about the campaign is displayed simultaneously at the
multiple locations or sites; and participants at the multiple
locations interact or participate in real-time communication via
the management interface. In embodiments, a form of the real-time
communication is selected from the group consisting of audio
conferencing, video conferencing, virtual reality conferencing,
augmented reality conferencing, collaborative text chat,
collaborative editing and holographic conferencing. In embodiments,
the management interface provides a heat map showing paths of a
plurality of visitors through the venue. In embodiments, the
management interface is for creating multiple templates of
multimedia asset selections or sequences. In embodiments, the
management interface is for creating interactive campaigns related
to locations in a site plan. In embodiments, the management
interface is for associating a live feed of multimedia to a site
plan. In embodiments, the management interface is for creating
interactive campaigns and displaying multimedia relating to the
degree of progress towards a goal in the interactive campaign. In
embodiments, the management interface is for designing interactive
content. In embodiments, a development of different assets for
location-based kiosks and mobile applications is performed via the
management interface. In embodiments, content for different museum
locations is developed simultaneously via the management
interface.
[0049] In embodiments, the information technology platform further
comprises a monitoring system. In embodiments, the information
technology platform further comprises a reporting system. In
embodiments, the visitor has a sponsor; and the reporting system
automatically queries the visitor and requests an update on
participation in a campaign. In embodiments, the campaign has
specific actions; and the reporting system queries the visitor
whether the visitor has completed the specific actions. In
embodiments, the visitor is automatically subscribed to an ongoing
email or push-messaging update about a status of the campaign. In
embodiments, the ongoing email or push-messaging update is
delivered to the sponsor and the ongoing email or push-messaging
update includes a specific update regarding the visitor, including
a status of completion of the specific actions.
[0050] In embodiments, the information technology platform further
comprises a communication system for electronic communication among
the visitor, other visitors, venue employees, and campaign
representatives.
[0051] In embodiments, the information technology platform further
comprises a social networking system for digital communication
between the visitor and other visitors, and for sharing information
or media related to the venue or to a campaign. In embodiments, the
social networking system includes a search engine for the visitor
to search for information related to the venue or to the campaign.
In embodiments, the visitor is a potential donor to a philanthropic
cause; and the social networking system is further for connecting
the visitor to the philanthropic cause; and the social networking
system includes a search engine to search for a philanthropic cause
or a donor.
[0052] In embodiments, the information technology platform further
comprises a rating and review system for visitors to assign a
rating value or to enter a review including a text or media for the
venue, an exhibit or point of interest. In embodiments, the
information technology platform further comprises a collaborative
filtering system. In embodiments, the collaborative filtering
system is to find campaigns, exhibits, projects, or other items
that are of interest to the visitor or of shared interest to a
plurality of visitors. In embodiments, the collaborative filtering
system solicits input from the visitor about a level of interest
held by the visitor over a particular topic to determine likely
interest in an other topic, wherein the other topic includes a
particular exhibit or campaign to be presented to the visitor or
the other visitors as a visiting opportunity or as an opportunity
for donation or other philanthropic activity.
[0053] In embodiments, the information technology platform further
comprises a rewards system for rewarding a rewardable behavior of
the visitor with a reward. In embodiments, the rewardable behavior
is selected from the group consisting of: viewing an exhibit,
object, location, or attraction; viewing multimedia; capturing a
photo; augmenting a photo; capturing a video; augmenting a video;
games activity; referral activity; visiting the venue; sharing to
social media; participating in endorsement; rating or reviewing the
exhibit, object, location, or attraction; social network check-in;
providing user data including demographic data, interest data,
philanthropic history data or contact data; answering questions
related to an exhibit or object; retail purchases; refreshment
purchases; ticket purchases; donations; viewing campaign
information; campaign-related activity; using venue-provided
devices including wearables and sensors; and combinations
thereof.
[0054] In embodiments, the reward is selected from the group
consisting of: authorization to skip a queue; a discount or a free
pass to the venue or an other venue; access to exclusive
information or multimedia; access to exclusive exhibits or objects;
free or discounted augmented photographs or videos; free or
discounted retail items; free or discounted refreshment items; free
or discounted parking; game points or game-related rewards; and
combinations thereof. In embodiments, the rewards system includes a
software product for executing a program on the mobile device which
when executed performs the methods of: analyzing a path of the
visitor taken through the venue based on data from a set of
tracking systems; recording interactions of the visitor with
specific exhibits that are associated with an ongoing campaign;
retrieving target locations and multimedia hints from the platform;
displaying the hints on the mobile device; confirming that the
visitor has arrived at a target location; and providing a reward
notification to the visitor in response to the confirming that the
visitor has arrived at the target location.
[0055] In embodiments, the information technology platform further
comprises an augmented reality system for superimposing a
computer-generated image on a visitor's view of a location, thereby
causing the visitor to perceive a composite view including
information related to the location. In embodiments, the
information technology platform further comprises a virtual reality
system.
BRIEF DESCRIPTION OF THE FIGURES
[0056] In the accompanying figures, like reference numerals refer
to identical or functionally similar elements throughout the
separate views and together with the detailed description below are
incorporated in and form part of the specification, serve to
further illustrate various embodiments and to explain various
principles and advantages all in accordance with the systems and
methods disclosed herein.
[0057] FIG. 1A is a diagrammatic view that depicts a network
computing environment exemplary system architecture for
personalizing experiences of visitors at a venue including museum,
zoo or other non-profit venues in accordance with the present
disclosure.
[0058] FIG. 1B is a perspective view that depicts examples of a
visitor showing interest in a particular exhibit at a venue while
an interaction of the visitor with the exhibit is monitored in
accordance with the present disclosure.
[0059] FIG. 2 is a diagrammatic view that depicts methods for
personalizing the experience of a visitor at a venue such as a
museum, zoo or other non-profit venues in accordance with the
present disclosure.
[0060] FIG. 3 is a diagrammatic view that depicts methods for
augmenting a video taken by a visitor at a museum, zoo or other
non-profit venue in accordance with the present disclosure.
[0061] FIG. 4 is a diagrammatic view that depicts methods for
personalizing an experience of a visitor at a venue, including
presenting a campaign participation opportunity based on an
interaction of the visitor with a specific exhibit in accordance
with the present disclosure.
[0062] FIG. 5 is a diagrammatic view that depicts methods for
providing supplemental media to the visitors of a museum, zoo or
other non-profit venue based on their interaction in accordance
with the present disclosure.
[0063] FIG. 6 is a diagrammatic view that depicts methods for
providing a customized exhibit to a visitor of a museum, zoo or
other non-profit venue based on an interaction of the visitor with
a specific venue exhibit in accordance with the present
disclosure.
[0064] FIG. 7 is a diagrammatic view that depicts methods and
systems for augmenting a photograph taken by the visitor at a
museum, zoo or other non-profit venues in accordance with the
present disclosure.
[0065] FIG. 8 is a diagrammatic view that depicts systems for
providing supplemental media to a visitor at a museum, zoo or other
non-profit venue in accordance with the present disclosure.
[0066] FIG. 9A is a diagrammatic view that depicts examples of a
method for introducing a visitor of a museum, zoo or other
non-profit venue to a new interactive experience through
personalized gamification in accordance with the present
disclosure.
[0067] FIG. 9B is diagrammatic view that depicts further examples
of a method for introducing a visitor of a museum, zoo, or other
non-profit venue to a new interactive experience through
personalized gamification in accordance with the present
disclosure.
[0068] FIG. 10 is a diagrammatic view depicting examples of a
system architecture for personalizing an experience of a visitor at
a venue including a museum, a zoo or other non-profit venue in
accordance with the present disclosure.
[0069] FIG. 11A is a diagrammatic view that depicts methods for
developing content for personalized museum, zoo or other non-profit
venue experiences for a mobile device in accordance with the
present disclosure.
[0070] FIG. 11B is a diagrammatic view that depicts examples of a
heat map in accordance with the present disclosure.
[0071] FIG. 12 is a diagrammatic view that depicts methods for
providing a sequence or a selection of multimedia assets for
consumption by a visitor at a museum, zoo or other non-profit venue
in accordance with the present disclosure.
[0072] FIG. 13 is a diagrammatic view that depicts methods for
developing recommendations for a personalized museum, zoo or other
non-profit venue visit in accordance with the present
disclosure.
[0073] FIG. 14 is a diagrammatic view that depicts methods
providing visitors of a museum, zoo or other non-profit venue
campaign participation opportunities based on their interaction in
accordance with the present disclosure.
[0074] FIG. 15 is a diagrammatic view that depicts methods for
providing visitors of a museum, zoo or other non-profit venue a
campaign participation opportunity based on an interaction of the
visitor with a specific venue exhibit in accordance with the
present disclosure.
[0075] FIG. 16 is a diagrammatic view that depicts methods for
providing visitors of a museum, zoo or other non-profit venues the
opportunity to solicit engagement of other visitors of similar
interests based on their interaction in accordance with the present
disclosure.
[0076] FIG. 17 is a diagrammatic view that depicts methods for
coordinating personalized experiences between cooperating museum,
zoo or other non-profit venues in accordance with the present
disclosure.
[0077] FIG. 18 is a diagrammatic view that depicts methods for
creating personalized multi-venue museum, zoo or other non-profit
venue experiences in accordance with the present disclosure.
[0078] FIG. 19 is a diagrammatic view that depicts methods for
cross-referral for cooperating museum, zoo or other non-profit
venues in accordance with the present disclosure.
[0079] FIG. 20 is a diagrammatic view that depicts methods for
automating content selection for personalized museum, zoo or other
non-profit venue experiences in accordance with the present
disclosure.
[0080] FIG. 21 is a diagrammatic view that depicts methods for
providing coordinated experiences between cooperating museum, zoo
or other non-profit venues in accordance with the present
disclosure.
[0081] FIG. 22 is a diagrammatic view that depicts methods and
systems for providing supplemental media to a visitor at a museum,
zoo or other non-profit venue in accordance with embodiments
disclosed herein.
[0082] FIG. 23 illustrates methods and systems for providing
personalized venue visit recommendations to a visitor at a museum,
a zoo or other non-profit venue in accordance with embodiments
disclosed herein.
[0083] Skilled artisans will appreciate that elements in the
figures are illustrated for simplicity and clarity and have not
necessarily been drawn to scale. For example, the dimensions of
some of the elements in the figures may be exaggerated relative to
other elements to help to improve understanding of the many
embodiments of the systems and methods disclosed herein.
DETAILED DESCRIPTION
[0084] The present disclosure will now be described in detail by
describing various illustrative, non-limiting embodiments thereof
with reference to the accompanying drawings and exhibits. The
disclosure may, however, be embodied in many different forms and
should not be construed as being limited to the illustrative
embodiments set forth herein. Rather, the embodiments are provided
so that this disclosure will be thorough and will fully convey the
concept of the disclosure to those skilled in the art. The claims
should be consulted to ascertain the true scope of the
disclosure.
[0085] Before describing in detail embodiments that are in
accordance with the systems and methods disclosed herein, it should
be observed that the embodiments reside primarily in combinations
of method and/or system components. Accordingly, the system
components and methods have been represented where appropriate by
conventional symbols in the drawings, showing only those specific
details that are pertinent to understanding the embodiments of the
systems and methods disclosed herein.
[0086] All documents mentioned herein are hereby incorporated by
reference in their entirety. References to items in the singular
should be understood to include items in the plural, and vice
versa, unless explicitly stated otherwise or clear from the
context. Grammatical conjunctions are intended to express any and
all disjunctive and conjunctive combinations of conjoined clauses,
sentences, words, and the like, unless otherwise stated or clear
from the context. Thus, the term "or" should generally be
understood to mean "and/or" and so forth, except where the context
clearly indicates otherwise.
[0087] Recitation of ranges of values herein are not intended to be
limiting, referring instead individually to any and all values
falling within the range, unless otherwise indicated herein, and
each separate value within such a range is incorporated into the
specification as if it were individually recited herein. The words
"about," "approximately," or the like, when accompanying a
numerical value, are to be construed as indicating a deviation as
would be appreciated by one skilled in the art to operate
satisfactorily for an intended purpose. Ranges of values and/or
numeric values are provided herein as examples only, and do not
constitute a limitation on the scope of the described embodiments.
The use of any and all examples, or exemplary language ("e.g.,"
"such as," or the like) provided herein, is intended merely to
better illuminate the embodiments and does not pose a limitation on
the scope of the embodiments or the claims. No language in the
specification should be construed as indicating any unclaimed
element as essential to the practice of the embodiments.
[0088] In the following description, it is understood that terms
such as "first," "second," "third," "above," "below," and the like,
are words of convenience and are not to be construed as implying a
chronological order or otherwise limiting any corresponding element
unless expressly stated otherwise. The term "set" should be
understood to encompass a set with a single member or a plurality
of members.
[0089] FIG. 1A provides a schematic diagram outlining the network
computing environment with various information technology
components, sub-components, circuits, modules, blocks, systems,
sub-systems, software, methods, services, processes, and other
elements for implementing one or more exemplary embodiments of the
methods and systems of the current disclosure, collectively
referred to in some cases herein as the "information technology
platform 100," the "platform" or the system. The information
technology platform 100 enables experiences of visitors 102
(referred to in the alternative herein as guests, customers, users,
or the like) at venues 104, such as non-profit venues 104,
including museums, zoos, exhibitions, parks and the like. The
information technology platform 100 may have functions that include
creating and presenting personalized experiences for visitors 102,
such as based on personalized information of the visitors 102,
interests or other aspects of an individual profile for a visitor
102, including philanthropic interests that may relate to the venue
or to one or more exhibits, projects, or other activities of the
venue 104. The information technology platform 100 may, in
particular, facilitate interactions of visitors 102 to a non-profit
venue 104 that encourage philanthropic activity, such as donations
to support particular activities, projects, items, exhibitions, or
the like of the non-profit venue.
[0090] In embodiments, the information technology platform 100 may
include a server 106 in communication with a network 110. The
server 106 is in communication with a mobile device 108 via the
network 110. The mobile device 108 is to be carried by the visitor
102, and communicate with the network 110, for example, to
determine a context, location and other personalized information
about the visitor 102. The personalized information about the
visitor 102 may then be provided as an input, such as in the form
of a visitor vector, a visitor profile, a set of visitor
attributes, a visitor object, or the like, to a recommendation
engine 112 in server 106. An output of the recommendation engine
112 may be for example, a suggestion for a personalized experience
for the visitor 102. Examples of the venue 104 include a museum
130, a zoo 132, an exhibition 134, a park 138, a temporary venue
140, a retrofit installation 142, and the like.
[0091] FIG. 1A depicts a plurality of mobile devices 108, and a
plurality of visitors 102, and a single server 106. It is to be
understood that the information technology platform 100 disclosed
herein may include a single server 106, or a plurality of servers
106; a single mobile device 108, or a plurality of mobile devices
108; and a single visitor 102, or a plurality of visitors 102.
[0092] The information technology platform 100 may for example be
to recommend, to a visitor 102, various exhibits in a venue 104
based on one or more measures related to the locations visited by
the visitor 102 within the venue 104, such as an amount of time the
visitor 102 has spent within specific sections of the venue. An
amount of time spent in proximity to a particular exhibit,
interactions of a visitor 102 with one or more features of an
exhibit, interactions of one or more visitors 102 with a mobile
application or mobile device that has content related to the venue
or an exhibit, one or more affirmative indications of interest
(such as a survey of the visitor 102) or other measure that may
indicate interest in a particular topic, exhibit, project, or
activity. A more extensive interaction may be detected when the
visitor spends the most time in proximity to an exhibit, spends
relatively more time obtaining additional information, indicates a
most favorable response to a survey question, or a combination of
the above. References to interactions, and to threshold levels of
interactions, should be understood to encompass these and other
measures of interactions or interest of a visitor 102 with a venue
104, with particular items within a venue 104, within locations of
a venue 104, with content related to a venue (or items in it), with
a project, with a topic, or the like. In at least one example, if a
visitor 102 is interested in impressionist art, as evidenced by
spending time looking at impressionist paintings in a museum, the
information technology platform 100 may recommend different
sections within the venue or another venue that contains paintings
by various impressionist artists. In embodiments, information
technology platform 100 may automatically identify and recommend
donation or gifting opportunities based on the personalized
interests of visitor 102, such as by presenting the opportunity to
donate to an art restoration project for an item of impressionist
art that needs restoration. It will be apparent that a wide range
of personalized experiences could be provided to visitors 102
including but not limited to personalized recommendations, campaign
participation opportunities, improved photography or videography
services, personalized multimedia content, campaign sharing or
creation opportunities, multi-venue coordination and so on.
[0093] In embodiments, a mobile device 108 can include a mobile
computing device 108. The mobile computing device 108 can include a
smartphone, a tablet computer, a notebook computer, a personal
digital assistant (PDA), or another type of computation or
communication device that can be carried or worn by a visitor 102.
The server 106 may include a file server, domain server, internet
server, intranet server, cloud server, print server and other
variants such as secondary server, host server, distributed server
and the like. The server may provide an interface to other devices
including, without limitation, clients, other servers, printers,
database servers, print servers, file servers, communication
servers, distributed servers, social networks, and the like. The
network 110 can be a collection of individual networks,
interconnected with each other and functioning as a single large
network. Such individual networks may be wired, wireless, or a
combination thereof. Examples of such individual networks include,
but are not limited to, Local Area Networks (LANs), Wide Area
Networks (WANs), Metropolitan Area Networks (MANs), Wireless LANs
(WLANs), Wireless WANs (WWANs), Wireless MANs (WMANs), the
Internet, second generation (2G) telecommunication networks, third
generation (3G) telecommunication networks, fourth generation (4G)
telecommunication networks, fifth generation (5G) telecommunication
networks, and Worldwide Interoperability for Microwave Access
(WiMAX) networks.
[0094] As disclosed herein, the information technology platform 100
may further include a ticketing system 111 to generate credentials
for authorizing entry of the visitor 102 into the venue 104. In
embodiments, the credentials are selected from the group consisting
of passcodes, tangible media tokens, E-tickets, mobile tickets,
biometric data, behavioral data and combinations thereof. In
embodiments, the mobile tickets are selected from the group
consisting of a mobile barcode, a QR code, an Aztec barcode, Near
Field Communication (NFC), Bluetooth low energy and combinations
thereof. In embodiments, the credentials are delivered to the
visitor 102 via mail, e-mail, text message, or a mobile
application. In embodiments, the credentials are presented to the
platform by transferring the tangible media token, electronic
communication, display, biological presence or behavioral
manifestation of the visitor. In embodiments, the biometric data is
selected from the group consisting of a biological image; a
fingerprint; genetic data; a palm print; palm veins; an iris image;
a retina image; a scent; heart rhythm; and voice data. In
embodiments, the behavioral data is selected from the group
consisting of a gesture, typing rhythm, gait and combinations
thereof.
[0095] FIG. 1B is a perspective view that depicts an example of a
visitor 102 showing interest in a particular exhibit 116 at a venue
104 while an interaction of the visitor 102 with the exhibit 116 is
monitored. In the example depicted in FIG. 1B, the venue 104 is an
art museum. An RF beacon 117 and the mobile computing device 108
carried by the visitor 102 work together as part of a path tracking
system 114 (see FIG. 10). The path tracking system may also include
a global positioning system (GPS) 127 or an indoor positioning
system (IPS) 128. The path tracking system 114 reports through the
network 110 that the visitor 102 has stopped and waited in front of
the exhibit 116 shown in FIG. 1B. In the example depicted in FIG.
1B, the visitor 102 is stopping and waiting in front of, for
example, a painting titled "Two Sisters (On the Terrace)" by
Pierre-Auguste Renoir, an example of impressionism from about the
year 1881. The interaction tracking system 115 receives the report
from the path tracking system 114 via the network 110 that the
visitor 102 has stopped and waited. The interaction tracking system
115 determines that visitor 102 has shown an interest in the
exhibit 116, for example, by determining that the dwell time
exceeds a threshold. The server 106 combines the information from
the interaction tracking system 115 with venue data 1008 (see FIG.
10) stored on the database 202 to generate personalized information
relating to the visitor 102. In an example, the venue data 1008 may
include that the exhibit "Two Sisters (On the Terrace)" is an
example of impressionism. An example of the personalized
information may be that the visitor 102 shows an interest in
impressionism. Personalized information can be gathered from the
camera 1020, an IR camera 123, a microphone 124, a fingerprint
scanner 126, and/or wearable devices including a Bluetooth earpiece
121 and a smart watch or fitness wearable 136. A fitness wearable
136 may be a wrist band, chest strap, arm band, head band, helmet,
eyeglass frame, finger ring, glove, pulse oximeter, or any other
device that can be temporarily or permanently connected to the
visitor for monitoring a biological signal or location of the
visitor 102. Examples of biological signals may be from
physiological activity including muscular contraction (such as
heart beat or respiration). Fitness wearables 136 can monitor
temperature, pulse, blood pressure, electrical resistance of the
skin surface (potentially related to perspiration), and the like.
It is to be understood that the depictions in FIG. 1B of examples
of the various electronic devices such as the camera 1020, IR
camera 123, microphone 124, and various wearable devices are not
limitative in quantity, location, or configuration. For example,
cameras, microphones, and sensors can be located at each exhibit
throughout the venue 104. In examples, the cameras, microphones,
and other sensors may be configured to be smaller than shown. Some
CCD cameras and miniature microphones may be nearly visually
undetectable to the casual observer. The RF beacon and other
transmitters or receivers may share functionality with other items
such as smoke detectors, emergency lights, wall plates, directional
signage, or informational placards. Such electronic devices may be
hidden behind fasciae, 2-way mirrors, or other devices for
concealing the electronic devices. After the visitor 102 has been
identified, any personal information accessible on the internet 129
may be collected and used by the platform. The personalized
information is reported to a recommendation engine 1030 (FIG. 10)
or 112 (FIG. 1A). The recommendation engine 112 may be in the
server 106. Using results of the recommendation engine, a
personalized recommendation may be made via the mobile computing
device 108 carried by the visitor 102. For example, the mobile
computing device 108 may present a map to certain other exhibits
116 that are examples of impressionism. FIG. 1B includes an inset
view showing the mobile computing device 108 in the left hand of
the visitor 102. The inset view is enlarged to show that a map is
displayed on the display screen of the mobile computing device 108.
The inset view also shows that the visitor 102 is wearing a fitness
wearable 136; in FIG. 1B, the fitness wearable 136 is a fitness
wrist band. A call-to-action to visitor 102 to donate to
restoration of the frame for a painting by impressionist Claude
Monet may be communicated to the visitor 102. Thus examples of the
information technology platform 100 disclosed herein may enhance an
experience of the visitor 102 by directing the visitor 102 to
exhibits similar to an exhibit which the visitor 102 has shown an
interest. Further, examples of the information technology platform
100 do not waste resources or visitor time and good will by
presenting a campaign in which the visitor has a lower relative
interest.
[0096] In embodiments, the mobile computing device 108 carried by
the visitor 102 can communicate with one or more wireless beacons
or tracking systems proximate to the venue 104 while the visitor
102 is queuing to enter the venue 104. In other words,
communication between the mobile computing device 108 and the
system 100 can begin before the visitor 102 enters the venue 104.
For example, when the visitor 102 is in a vehicle (not shown), the
mobile computing device 108 may communicate the location and speed
of the visitor 104. Such information may be used by the system to
facilitate a quick and easy entry into the venue 104. The visitor
102 may be more philanthropically inclined after having been
welcomed by name without having to wait in a queue. It is also
possible for the system 100 to use a camera at the parking lot to
recognize the visitor's vehicle based on a license plate and data
from a previous visit. The system 100 may use a face recognition
module 1040 (see FIG. 10) to identify the visitor 102 as the
visitor 102 approaches the venue 104. The system 100 may include a
provisioning module 1050 (see FIG. 10) for activating a portable
digital guide. Thus, the venue 104 can supply the portable digital
guide pre-loaded with capabilities that may not be available on the
mobile phone carried by the visitor 102. The system 100 may include
an entry module running on a portable device for identifying and
checking in visitors. The system 100 can further include a
notification module 1048 for notifying venue workers about the
expected arrival of the visitor 102. The notification module 1048
is to automatically notify the provisioning module 1050 to
provision an available digital guide by pre-filling the available
digital guide with personalized visitor information, and to notify
at least one of the venue workers to retrieve the digital guide and
to meet the visitor 102 at an entry location where the visitor 102
is expected to enter the venue 104.
[0097] FIG. 2 illustrates methods and systems for personalizing the
experience of a visitor at a venue 104 such as a museum, zoo or
other non-profit venue that displays results of a plurality of
projects supported by philanthropy in accordance with embodiments
of the systems and methods disclosed herein. At 202, personalized
information of a visitor 102 is determined including context,
location and other such personalized information. At 204, such
personalized information is provided as a visitor profile to a
recommendation engine 112, such as a recommendation engine 112
enabled on the server 106. At 206, an output of the recommendation
engine is used to suggest personalized experiences to the visitor
102 wherein the suggesting personalized experiences for the visitor
102 includes providing a recommendation to direct the visitor 102
to a physical location where the visitor 102 is to be presented
with a donation opportunity for a project that is determined by the
recommendation engine to be of interest to the visitor 102 based on
the visitor profile.
[0098] FIG. 3 illustrates methods and systems for augmenting a
video taken by a visitor at a museum, a zoo or other non-profit
venue in accordance with embodiments of the systems and methods
disclosed herein. At 301, the method includes "executing an
application on a mobile computing device carried by the visitor,
which, when executed, performs the steps of:" At 302, the method
includes analyzing an original video taken by the visitor to
determine locations of subjects of the original video. At 304, the
method includes determining a set of characteristics of the
original video. At 306, the method includes accessing digital
imagery from a database of high-resolution imagery of the venue. At
308, the method includes creating a high-resolution motion path
sequence of images having a corresponding set of characteristics to
those of the original video by using the digital imagery from the
database. At 310, the method includes masking the original video
based on differences between the high-resolution motion path
sequence of images and the original video taken by the visitor. At
312, the method includes compositing the original video with the
high-resolution motion path sequence of images to create a
high-resolution composite video. In embodiments, the
high-resolution imagery includes a 3D model of the locations of the
subjects. In embodiments, the high-resolution imagery contains
3-dimensional metadata. In embodiments, the high-resolution imagery
includes video. In embodiments, the high-resolution imagery
includes a light-field photographic image. In embodiments, the
method further includes re-shading images of human subjects
captured in the original video to blend with the high-resolution
imagery from the database. In embodiments, the method further
includes providing the high-resolution composite video to the
visitor 102 on a website or within the application on the mobile
computing device 108 carried by the visitor 102. In embodiments,
the set of characteristics includes at least one of location,
orientation, lighting, and motion path characteristics.
[0099] FIG. 4 illustrates methods and systems for personalizing an
experience of a visitor at a venue. At 401, the method includes
"executing an application on a mobile computing device carried by
the visitor, which, when executed, performs the steps of:" At 402,
the method includes analyzing a path of the visitor 102 taken
through venue 104 based on data from a set of tracking systems. At
404, the method includes recording an interaction of the visitor
102 with a specific exhibit or other item associated with an
ongoing campaign. Then, at 406, the method includes, upon detecting
that an interaction by the visitor with the specific exhibit or
other item exceeds a threshold, providing personalized information
relating to the visitor to a recommendation engine. At 408, using
results of the recommendation engine, presenting a relevant
call-to-action to the visitor 102 to participate in the campaign.
In embodiments, a software product running a program on the mobile
computing device carried by visitor, when executed performs some or
all of the methods disclosed. In embodiments. the personalized
information includes a feature vector or visitor profile. In
embodiments, the campaign is a charitable project selected from the
group consisting of a translation project, a clean water project,
an education project, a building project, a missionary project, a
disaster relief project, a restoration project, an acquisition
project, and combinations thereof. In embodiments, the
call-to-action presented to the visitor is selected from the group
consisting of a request for a donation, a request for a
subscription, a request to share on social media, a request to
provide metadata about the visitor 102 for display on an
endorsement, a request to share the campaign with others, a request
to be contacted further, a request to donate on behalf of another,
a request to sponsor another campaign participant, and a request
for sponsorship by another to participate in the campaign, and
combinations thereof.
[0100] In embodiments, the recorded interaction of the visitor 102
with the specific exhibit or other item is analyzed based on a
video taken of a face of the visitor 102. In embodiments, the
interaction of the visitor 102 with the specific exhibit or other
item is analyzed based on visual affect detection. As used herein,
visual affect detection means detection of emotion or sentiment of
a visitor 102 through analyzing facial expressions and/or body
language. In embodiments, the call-to-action is presented in
response to the visitor 102 requesting additional information about
a campaign. In embodiments, the campaign has a set of goals, and
the application shows a degree of achievement of the set of goals
in a graphical form. In embodiments, the method further includes
automatically subscribing the visitor 102 to an ongoing email or
push-messaging update about a status of the campaign.
[0101] FIG. 5 illustrates methods and systems for providing
supplemental media to a visitor at a non-profit venue. At 501, the
method includes "executing an application on a mobile computing
device carried by the visitor, which, when executed, performs the
steps of:" At 502, the method includes tracking a specific path of
the visitor 102 through the venue 104 wireless beacons. At 504, the
method includes tracking locations where the visitor 102 stopped
and waited. At 506, the method includes storing the specific path
of the visitor 102 on a remote server 108. At 508, the method
includes providing a digital map to the visitor on the mobile
computing device 106 carried by the visitor 102. At 510, the method
includes determining, from the specific path of the visitor stored
on the remote server, whether or not the visitor had come into
proximity of certain exhibits or objects depicted on the digital
map. At 512, the method includes automatically assembling a
multimedia presentation summarizing specific portions of the venue
that the visitor 102 visited and presenting the multimedia
presentation to the visitor. In embodiments, the supplemental media
is provided by a software product running a program on the mobile
device 108 carried by the visitor 102, which when executed performs
of the method.
[0102] In some examples, the amount and type of information
collected and presented in the multimedia presentation on
particular topics may be aligned with the amount of time or the
extent of interaction with items, such as exhibits, that correspond
to those topics. For example, if a visitor 102 has spent less than
a minute in front of most exhibits in a museum, but then spends ten
minutes viewing a particular archeological artifact, then the
multimedia presentation may be configured to provide media content
related to the artifact, to the location where the artifact was
discovered, to the culture represented by the artifact, to the era
of the artifact, to the type of the artifact, or other sets of
attributes of the artifact. Such information may be retrieved from
a curated library of information for the items in a venue, as well
as from external information sources, such as by configuring
searches of public databases and data sources (including the
internet) to retrieve additional information based on the
attributes of the item of interest. In embodiments, the multimedia
presentation may present information about a campaign, project or
activity related to the item that is of interest, such as, in the
examples of artifacts, information about an archeological dig that
may benefit from philanthropic support by the visitor 102 or by a
person known to the visitor 102. In embodiments, the multimedia
presentation is presented in an application running on the mobile
computing device 108 carried by visitor 102. In embodiments, the
multimedia presentation is emailed to the visitor 102. In
embodiments, the multimedia presentation is delivered on a kiosk in
the venue. In embodiments, the multimedia presentation is in the
form of an audio summary provided via a voice agent system. In
embodiments, the multimedia includes additional information about
the exhibits the visitor 102 visited that was not presented at
those exhibits. Such information may include, for example,
high-resolution imagery, video, captioning, textual data, live
video feed, or donation information. In embodiments, the specific
portions of the venue where the visitor 102 stopped and waited are
added to a bookmark list. In embodiments, the multimedia
presentation includes additional multimedia for the portions of the
venue that the visitor visited. In embodiments, the method includes
the step of automatically subscribing the visitor to an ongoing
email or push-messaging update about a status of the specific
portions of the venue on the bookmark list. In embodiments, the
update includes information about additions, changes, an annotation
by an other visitor, an observation by the other visitor, or an
event regarding the specific portions of the venue on the bookmark
list. In embodiments, a multimedia presentation for a visitor 102
is automatically updated after a visit, such as with additions,
changes, updates or other events regarding the items of interest,
as well as annotations or observations by other visitors 102 and
the like. Updating may occur as a result of pushing information
when updates occur to the media sources used to configure a
multimedia presentation, or the information technology platform 100
may be configured to periodically pull information based on the
content of a multimedia presentation that was configured to relate
to the interest of the visitor 102 as reflected by interactions of
the types described throughout this disclosure.
[0103] FIG. 6 illustrates methods and systems for personalizing an
experience of a visitor at a non-profit venue. As depicted at 601,
the method includes "executing an application on a computing
device, which, when executed, performs the steps of:" At 602, the
method includes analyzing a path of the visitor taken through the
non-profit venue using a set of tracking systems. Any suitable
location or path tracking system may be used, for example, access
points, NFC detectors, an indoor GPS system, or the like. At 604,
the method includes recording an interaction of the visitor 102
with a specific venue exhibit associated with an ongoing campaign.
At 606, the method includes retrieving demographic information
related to the visitor from a database. In embodiments, demographic
information may be obtained from other sources, such as social
media pages of the visitor 102, as determined by the identity of
the visitor 102, such as determined at the point of check-in,
ticketing or the like for the visitor 102 for the venue. At 608,
the method includes providing a visitor vector to a recommendation
engine, wherein the visitor vector includes the demographic
information related to the visitor, wherein a personalized
multimedia presentation is personalized to the visitor and
presented to the visitor during the interaction of the visitor with
the specific venue exhibit based on results output by the
recommendation engine. In embodiments, the personalized multimedia
presentation is presented in an application running on a mobile
computing device carried by the visitor 102 separately from the
venue exhibit. In such an embodiment, the computing device is the
mobile computing device carried by the visitor 102. In embodiments,
the specific exhibit includes a kiosk that presents the
personalized multimedia presentation. In embodiments, the
personalized multimedia presentation displays a name of the visitor
102 or other information related to the visitor 102. In
embodiments, the personalized multimedia presentation is
personalized based on an education level, income level, language,
developmental status, or age of the visitor 102. In embodiments,
the developmental status of the visitor 102 indicates that the
visitor 102 is a child. In embodiments, the visitor vector includes
recorded visitor interaction data; the recorded visitor interaction
data includes records of interactions of the visitor with a venue
exhibit other than the specific venue exhibit; the recorded visitor
interaction data demonstrates a degree of interest of the visitor
in categories of information conveyed by the venue exhibit; the
personalized multimedia presentation is personalized based on the
categories of information in which the visitor has demonstrated a
greater interest based on the recorded visitor interaction data
from the interactions of the visitor with the venue exhibit other
than the specific venue exhibit. In embodiments, the categories of
information are selected from the group consisting of history,
pictures, people, current activities and combinations thereof. In
embodiments, the personalized multimedia presentation includes
augmented reality.
[0104] FIG. 7 illustrates methods and systems for augmenting a
photograph taken by a visitor at a museum, zoo or other non-profit
venue in accordance with embodiments of the present disclosure. As
depicted at 701, the method includes "executing an application on a
mobile computing device carried by the visitor, which, when
executed, performs the steps of:" At 702, the method includes
analyzing an original photograph taken by the visitor to determine
a location of a subject of the original photograph. At 704, the
method includes determining a set of characteristics of the
original photograph. At 706, the method includes accessing digital
imagery from a database of high-resolution imagery of the venue. At
708, the method includes creating a high-resolution digital image
having a corresponding set of characteristics to those of the
original photograph by using the digital imagery from the database.
At 710, the method includes masking the original photograph based
on differences between the high-resolution digital image and the
original photograph taken by the visitor. At 712, the method
includes compositing the original photograph with the
high-resolution digital image to create a high-resolution composite
photograph. In embodiments, the high-resolution imagery includes a
3D model of the location of the subject. In embodiments, the
high-resolution imagery contains 3-dimensional metadata. In
embodiments, the high-resolution imagery includes video. In
embodiments, the high-resolution imagery includes a light-field
photographic image. In embodiments, the method further includes
reshading images of human subjects captured in the original
photograph to blend with the high-resolution imagery from the
database. In embodiments, the method further includes providing the
high-resolution composite photograph to the visitor on a website or
within the application on the mobile computing device carried by
the visitor 102. In embodiments, the techniques of the method are
utilized for augmenting videos taken by the visitor at a venue with
professional videography and for creating synthetic
videography.
[0105] FIG. 8 illustrates methods and systems 100 for providing
supplemental media to a visitor 102 at a non-profit venue 104 in
accordance with embodiments of the systems and methods disclosed
herein. In embodiments, the supplemental media is provided by a
software product 120 running a program on the mobile computing
device 108 carried by visitor 102, which when executed performs
steps 800 of the method. At 802, the steps include analyzing
photographs taken by the visitor 102. At 804, the steps include
accessing digital imagery from a database of high-resolution
imagery of the venue 104. At 806, the steps include matching the
photographs taken by the visitor 102 to the high-resolution imagery
to identify a location in the venue 104 of an exhibit depicted in
the photographs. At 808, the steps include creating archivable
regions in stored imagery allocated to the visitor 102. At 810, the
steps include allowing the visitor 102 to activate the archivable
regions to retrieve additional information about the exhibit
depicted in the photographs. In embodiments, the additional
information includes a call-to-action allowing the visitor 102 to
participate in a fundraising campaign. In embodiments, the
additional information includes a call-to-action allowing the
visitor to share a fundraising campaign with an other visitor. In
embodiments, the additional information includes a call-to-action
allowing the visitor to provide personal information or a
photograph to be shared in a virtual wall relating to the set of
exhibits. In embodiments, the additional information is selected
from the group consisting of high-resolution imagery, video,
captioning, textual data, live video feed, donation information,
and combinations thereof. In embodiments, the additional
information includes suggestions of other exhibits popular with
people who took photographs of the exhibit.
[0106] FIG. 9A illustrates methods and systems for providing a
visitor to a non-profit venue a campaign participation opportunity
based on an interaction of the visitor in accordance with
embodiment of the present disclosure. In embodiments, the method
may also be called "gamification". As depicted at 901, the method
includes "executing a program on a mobile computing device carried
by the visitor, which, when executed, performs the steps of:" At
902, the method includes analyzing a path of the visitor 102 taken
through the non-profit venue 104 using a set of tracking systems.
At 904, the method includes recording the interaction of the
visitor 102 with a specific venue exhibit associated with an
ongoing campaign. At 906, the method includes retrieving a set of
target locations and multimedia hints from a server 106. At 908,
the method includes displaying the multimedia hints on the mobile
computing device 108. At 910, the method includes confirming that
the visitor has arrived at least one target location in the set of
target locations and, at 912, the method includes conveying a
reward notification to the visitor in response to each target
location that the program has confirmed as having been visited by
the visitor 102. It is to be understood that, although the steps in
FIG. 9A are depicted in a sequence, the steps may occur in any
possible order, and steps may be repeated. For example, the
specific venue exhibit associated with an ongoing campaign (see
step 904) may be the same as the at least one target location (see
step 910). Thus, the systems and methods disclosed herein may use
gamification to encourage the visitor 102 to interact with an
exhibit associated with an ongoing campaign. As shown in FIG. 15 at
1506 and 1508, embodiments may include: in response to detecting
that the visitor interaction with the specific venue exhibit
exceeds a threshold, providing a visitor vector to a recommendation
engine, wherein the visitor vector includes data indicating that
the visitor has shown interest in the specific venue exhibit
associated with the campaign; and, using results output by the
recommendation engine, presenting a relevant call-to-action to the
visitor 102. In embodiments, the confirming that the visitor has
arrived at least one target location in the set of target
locations, further includes: conveying a question to the visitor
102, wherein information for a correct response to the question is
located at the at least one target location; receiving an input in
response to the question from the visitor 102 via the mobile
computing device 108; comparing the input in response to the
question from the visitor 102 to a correct answer received from the
server 106; and verifying that the input in response to the
question from the visitor 102 matches the correct answer received
from the server 106. In embodiments, the confirming that the
visitor 102 has arrived at least one target location in the set of
target locations further includes scanning a QR code using a camera
wherein the camera is located in the mobile computing device 108.
In embodiments, the confirming that the visitor 102 has arrived at
least one target location in the set of target locations, further
includes accepting a picture of the at least one target location
taken on a camera wherein the camera is located in the mobile
computing device; and using image recognition to compare the
picture to an image retrieved from a server 106.
[0107] FIG. 9B illustrates methods and systems for providing a
visitor to a non-profit venue a campaign participation opportunity
based on an interaction of the visitor in accordance with
embodiment of the present disclosure. In embodiments, the method
may also be called "gamification". As depicted at 951, the method
includes executing a program on a mobile computing device 108
carried by the visitor 102. At 952, the method includes analyzing a
path of the visitor 102 taken through the non-profit venue 104
using a set of tracking systems. In FIG. 9B, the set of tracking
systems is represented by, for example, RF beacons 117. At 954, the
method includes retrieving a set of target locations and multimedia
hints from a server via a network 110 into the mobile computing
device 108. At 956, the method includes displaying the multimedia
hints 131 on the mobile computing device 108. At 958, the method
includes confirming that the visitor has arrived at least one
target location in the set of target locations. At 958, an RF
beacon 117 detects proximity of the mobile computing device 108 to
the target location. At 960, the method includes conveying a reward
notification to the visitor 102 in response to each target location
that the program has confirmed as having been visited by the
visitor 102. For example, the reward may be free or discounted ice
cream. In embodiments, using results output by the recommendation
engine, a relevant call-to-action is presented to the visitor 102
to direct a portion of funds contributed by the visitor 102 to the
campaign in which the visitor 102 has shown interest. At 962, the
visitor 102 is presented with an update about a status of the
campaign, including a donor honor roll that includes the name of
the visitor 102. At 964, the visitor 102 is shown enjoying the ice
cream cone 133 that the visitor 102 received as a reward.
[0108] FIG. 10 depicts an example of a system architecture for
personalizing an experience of a visitor 102 at a venue including a
museum, a zoo or other non-profit venue in accordance with
embodiments of the systems and methods disclosed herein. The system
100 includes server 106 that interacts with mobile computing
devices 108 carried by visitors 102 over a network 110 to suggest
personalized experiences to visitors 102 including personalized
recommendations, campaign participation opportunities, personalized
multimedia content, improved photography or videography services,
campaign sharing or creation opportunities, multi-venue
coordination and so on. The example of the mobile computing device
108 depicted in FIG. 10 includes a processor 1026, memory 1024, a
network interface 135, and a GPS receiver 137 connected to perform
the functions of the mobile computing device 108 described herein.
The GPS Receiver 137 is to receive information from GPS satellites
127 (see FIG. 1B) and to calculate the geographical position of the
GPS Receiver 137 for location, navigation, and tracking. The system
100 also includes a database 1002 for storing a variety of data
including visitor profile data 1004, campaign data 1006, venue data
1008, image data 1010, video data 1012 and location data 1014.
Further, the system 100 includes multiple subsystems helping
capture visitor information, for example, RF beacon subsystem 1016,
sensor subsystem 1018, camera subsystem 1020 and kiosk subsystem
1022. Server 106 includes memory 1024, processor 1026, peripherals
interface 1028, recommendation engine 1030, image processing module
1032, video processing module 1034, natural language processing
module 1036, machine learning system 1038, face recognition module
1040, management interface 1042, Augmented Reality/Virtual Reality
(AR/VR) module 1044, gamification module 1046, notification module
1048 and provisioning module 1050. The processor may be any kind of
computational or processing device capable of executing program
instructions, codes, binary instructions and the like. Memory 1024
may include flash memory, buffer, stack, Random Access Memory
(RAM), Read-Only Memory (ROM), dynamic memory, static memory,
read/write storage, mutable storage, read only, random access,
sequential access, location addressable, file addressable, content
addressable, network attached storage, storage area network, bar
codes, magnetic ink, and the like. Processor 1026 may include
signal processor, digital processor, embedded processor,
microprocessor or any variant such as a math co-processor, graphic
co-processor, communication co-processor and the like that may
directly or indirectly facilitate execution of program code or
program instructions stored thereon. Peripherals interface 1028
provide an interface of server 106 with other subsystems including
RF beacon subsystem 1016, sensor subsystem 1018, camera subsystem
1020 and kiosk subsystem 1022.
[0109] FIG. 11A illustrates methods and systems for developing
content for personalized museum, zoo or other non-profit venue
experiences using a mobile device in accordance with embodiments of
the systems and methods disclosed herein. At 1102, the method
includes providing an interface for management of a set of
multimedia assets. At 1104, the method includes receiving a mapping
of multimedia assets to a set of locations on a site plan for the
venue. At 1106, the method includes receiving topical metadata for
the set of multimedia assets. At 1108, the method includes
receiving personalized interest data indicating personal
philanthropic interests of a visitor to the venue. At 1110 the
method includes applying a machine learning algorithm to analyze
the metadata and the personalized interest data to provide a
selection of multimedia assets from the set of multimedia assets
for consumption by the visitor. In embodiments, the machine
learning system assembles a sequence of multimedia assets based at
least in part on a personal route taken by the visitor through the
site plan for the venue. In embodiments, the machine learning
system assembles a sequence and/or selection based at least in part
on selections made by the visitor on a mobile computing device. In
embodiments, at least one of the set of multimedia assets is
interactive. In embodiments, at least one of the interactive
multimedia assets is configured to initiate tracking of at least
one of an audio, visual, tactile, and movement action of the
visitor by the mobile computing device when the visitor comes
within a defined proximity to the multimedia asset. In embodiments,
the management interface further provides an interface for creating
a campaign wherein information about the campaign is displayed at a
location of a multimedia asset, wherein the multimedia asset is
related to the campaign. In embodiments, the information about the
campaign is to enable a multimedia interaction to promote the
campaign in response to the mobile device being detected in
proximity to the multimedia asset, and wherein the visitor uses the
mobile device. In embodiments, the information about the campaign
is displayed simultaneously at different locations and/or sites and
where the visitors at the different locations can interact or
communicate with each other in real time. In embodiments, the
multimedia interaction is selected from the group consisting of
audio conferencing, video conferencing, virtual reality
conferencing, collaborative text chat, holographic conferencing and
combinations thereof. In embodiments, the interface for management
further provides a heat map showing paths of a plurality of
visitors through the venue. (An example of a heat map is provided
in FIG. 11B.) In embodiments, the management interface further
provides an interface for creating multiple templates of multimedia
asset selections or sequences. In an example, the multimedia asset
selections or sequences may include playlists. In embodiments, the
interface for management further provides an interface for creating
an interactive campaign related to a location on the site plan. In
embodiments, the interface for management further provides an
interface for associating a live feed of multimedia to a site plan.
In embodiments, the interface for management further provides an
interface for creating an interactive campaign and displaying
multimedia relating to a degree of progress towards a goal in the
interactive campaign. In embodiments, the interface for management
further provides an interface for designing interactive content. In
embodiments, the interface for management allows for the
development of different assets for location-based kiosks and
mobile applications. In embodiments, the interface for management
enables development of content for different venue locations
simultaneously. In embodiments, the locations in the site plans are
associated with a wireless beacon.
[0110] FIG. 11B is a diagram depicting an example of a heat map in
accordance with the present disclosure. FIG. 11B depicts an example
of a site plan for a venue 104 with heat map isotherms 122
superimposed thereon. In examples, any number of exhibits 116 may
be located in a venue 104; however, two exhibits 116 are shown in
FIG. 11B to simplify the diagram. In the example depicted in FIG.
11B, a reception/registration counter 109 is shown opposite an
entrance 107 in an entrance hall 113. In the example, RF beacons
117 are depicted throughout the venue 104 as part of a path
tracking system 114 (see FIG. 10). It is to be understood that
although a heat map may actually convey temperature information,
the heat map isotherms 122 may convey any gradient data on the map.
The heat map isotherms may depict actual hot zones and cold zones
on a site plan (for example, for use in controlling air
temperature); however, the heat map may depict areas where there is
a greater density of visitor traffic as being "hotter". When color
is used, typically hotter areas, or high traffic areas, may be
depicted using red or any suitable color. As stated herein above,
heat maps may be used to convey any data where there is a gradient
on a map. For example, a heat map may be used to depict areas in a
venue where visitors show greater interest; areas where visitors
spend more time; or areas where visitors are more generous with
philanthropy. According to the present disclosure, heat maps may
also be used in crowd management. For example, where an area of a
venue 104 becomes too congested with visitors, a heat map may help
prioritize where additional traffic guides may be allocated;
prioritize where additional air-conditioning may be supplied; or
help determine that the congested area should be avoided in
personalized route recommendations.
[0111] FIG. 12 illustrates methods and systems for developing
content for personalized non-profit venue experiences using a
mobile device in accordance with embodiment of the systems and
methods disclosed herein. At 1202, the method includes providing a
management interface for management of a set of multimedia assets.
At 1204, the method includes receiving a mapping of multimedia
assets to a set of locations on a set of site plans for the venue.
At 1206, the method includes receiving topical metadata for the set
of multimedia assets. At 1208, the method includes providing an
interface for receiving data indicating personal philanthropic
interests of a visitor to the venue, wherein the data indicating
personal philanthropic interests of the visitor to the venue
includes visitor-provided preference data and passively-collected
visitor interaction data. At 1210 the method includes applying a
machine learning system to analyze the metadata and the data
indicating personal philanthropic interest of the visitor to
provide a sequence or a selection of multimedia assets for
consumption by the visitor. In embodiments, the machine learning
system assembles a sequence or selection based at least in part on
a personal route taken by the visitor through at least one of the
site plans in the set of site plans. In embodiments, the machine
learning system generates a memory book for the visitor subsequent
to a visit to the venue, wherein the memory book is based in part
on a personal route taken by the visitor through at least one of
the site plans in the set of site plans. In embodiments, a web
interface is to give the visitor access to the memory book. In
embodiments, a mobile app is to give the visitor access to the
memory book. In embodiments, the machine learning system assembles
a sequence or selection based at least in part on visitor
selections made at the venue. In embodiments, at least one of the
multimedia assets is an interactive multimedia asset. In
embodiments, the interactive multimedia asset is assigned to use an
audio, visual, tactile, or movement capture device associated with
a location in the venue. In embodiments, the management interface
further provides an interface for creating an interactive campaign;
information about the interactive campaign is displayed at a
plurality of locations or sites; the information about the
interactive campaign is displayed simultaneously at the plurality
of locations or sites; and visitors at the plurality of locations
or sites have access to real-time interaction or real-time
communication with each other. In embodiments, a mode of the
real-time communication is selected from the group consisting of
audio conferencing, video conferencing, virtual reality
conferencing, collaborative text chat, holographic conferencing,
and combinations thereof. In embodiments, at least one location in
the set of locations on the set of site plans is associated with a
wireless beacon. In embodiments, the management interface further
provides a heat map showing paths of visitors through the venue. In
embodiments, the management interface further provides an interface
for creating a plurality of templates for multimedia asset
selections or sequences. In embodiments, the management interface
further provides an interface for creating an interactive campaign
related to at least one location in the set of locations on the set
of site plans for the venue. In embodiments, the management
interface further provides an interface for associating a live feed
of multimedia to a site plan. In embodiments, the management
interface further provides an interface for creating interactive
campaigns and displaying multimedia relating to the degree of
progress towards a goal in the interactive campaign. In
embodiments, the management interface further provides an interface
for creating an interactive campaign and displaying multimedia to
convey a degree of progress towards a goal in the interactive
campaign. In embodiments, the management interface further provides
an interface for designing interactive content. In embodiments, the
management interface further provides for the development of
different assets for location-based kiosks and mobile applications.
In embodiments, the management interface further provides for a
simultaneous development of content for a plurality of venues. In
embodiments, the machine learning system generates a memory book
for the visitor subsequent to a visit to the venue; the memory book
has digital assets coordinated in part based on a personal route
taken by the visitor through at least one of the site plans in the
set of site plans; or the memory book has digital assets
coordinated in part based on visitor input.
[0112] FIG. 13 illustrates methods and systems for developing
recommendations for a personalized venue visit at a non-profit
venue, in accordance with embodiments disclosed herein. At 1302,
the method includes providing a management interface for management
of a set of multimedia assets. At 1304, the method includes
receiving a mapping of multimedia assets to specific physical or
virtual displays in at least one site plan. At 1306, the method
includes receiving topical metadata for the set of multimedia
assets. At 1308, the method includes providing an interface for
receiving data indicating personal interests of a visitor to the
venue, wherein the data indicating personal interests of the
visitor to the venue includes a set of data selected from among
visitor-provided preference data, passively-collected visitor
interaction data, and visitor route data. At 1310, the method
includes receiving personal interest data for a plurality of venue
visitors. At 1312, the method includes receiving preference data
relating to a prospective visitor. At 1314, the method includes
applying a machine learning system to analyze the metadata, the
data indicating personal interests of the visitor, the personal
interest data for the plurality of venue visitors, and the
preference data relating to the prospective visitor. At 1316, the
method includes generating a selection or sequence of venue
location recommendations for the prospective visitor. In
embodiments, the personal interest data is collected from visitor
visits across a plurality of non-profit venues. In embodiments, the
preference data relating to the prospective visitor is collected
for multiple venues. In embodiments, the preference data relating
to the prospective visitor is collected at a non-profit venue. In
embodiments, the preference data relating to the prospective
visitor is derived from information collected on the prospective
visitor based on a prior visit by the prospective visitor to a
non-profit venue. In embodiments, the preference data relating to
the prospective visitor is derived from information collected on
the prospective visitor based on the route data of the prospective
visitor through a non-profit venue during a previous visit to the
non-profit venue. In embodiments, the preference data for the
prospective visitor is collected using a mobile application. In
embodiments, the preference data for the prospective visitor is
collected based on indications of interest. In embodiments, the
indications of interest are collected through gaze analysis. In
embodiments, the indications of interest are collected through
visual analysis via a plurality of cameras. In embodiments, the
indications of interest are provided by the prospective visitor. In
embodiments, the preference data for the prospective visitor is
generated from visitor information collected from a visitor
unrelated to the non-profit venue. In embodiments, the visitor
route data is collected using a mobile application. In embodiments,
the visitor route data is collected using wireless beacons. In
embodiments, the visitor route data is collected using cameras. In
embodiments, the visitor route data is collected using biometric
sensors. The biometric sensors may include one or more wearable
devices, such as wearable devices containing accelerometers,
biometric sensors or other sensors. In embodiments, the visitor
route data is collected using a sensor network, which may include a
sensor network that includes a set of mobile devices, such as of
other visitors, workers for a venue, or the like. In embodiments,
the visitor route data is collected by tracking visitor interaction
with venue displays. In embodiments, the visitor route data is
collected by tracking visitor use of a venue guide device.
[0113] FIG. 14 illustrates methods and systems providing visitors
of a museum, zoo or other non-profit venue campaign participation
opportunities based on their interaction in accordance with
embodiments disclosed herein. As depicted at 1401, the method
includes "executing a program on a mobile computing device carried
by the visitor, which, when executed, performs the steps of:" At
1402, the method includes analyzing a path of the visitor taken
through the non-profit venue using RF beacons or other tracking
systems. At 1404, the method includes recording the interaction of
the visitor with a specific venue exhibit associated with an
ongoing campaign. At 1406, the method includes in response to
detecting that the visitor interaction with the specific venue
exhibit exceeds a threshold, providing a visitor vector to a
recommendation engine 112, wherein the visitor vector includes data
indicating that the visitor has shown interest in the campaign. At
1408, the method includes using results output by the
recommendation engine 112, matching the visitor 102 to an other
visitor interested in participating in a similar campaign. At 1410,
the method includes presenting a relevant call-to-action to the
visitor to communicate with the other visitor via the program.
[0114] In embodiments, communication between the visitor and the
other visitor facilitates a sponsorship relationship between the
visitor and the other visitor. In some examples, one visitor may
offer the opportunity for the other visitor to select a campaign,
or an aspect of a campaign, to which a donation by the one visitor
will be directed. In embodiments, the visitor is presented with a
list of potential campaign participants along with additional
information about the other visitors and goals of the other
visitors for the campaign. In embodiments, visitors 102 may be
connected based on their similarity, such as based on a clustering
algorithm, a similarity calculation, or the like, such as applied
to a set of attributes for each visitor 102, such as taken as
inputs by the information technology platform 100, such as at
check-in to a venue, during a ticketing process, via a mobile
application, or by collection from external data sources, such as
social media sites of visitors. In embodiments, a collaborative
filtering algorithm may be used to find campaigns, exhibits,
projects, or other items that are likely to be of interest to a
visitor 102 or of shared interest to a plurality of visitors. A
collaborative filtering algorithm may solicit input from a visitor
102 about a range of topics, items, exhibits, campaigns, causes, or
the like in order to determine likely interest in other items, such
as particular exhibits or campaigns that may be presented to
visitors 102 as visiting opportunities and/or as opportunities for
donations or other philanthropic activity.
[0115] In embodiments, the other visitor is selected by the visitor
from a list of potential campaign participants. In embodiments, the
other visitor is selected by the program from a list of potential
campaign participants, such as based on similarity of the visitors
or similarity in the extent of the visitors' respective
interactions or interest in an exhibit, a campaign, or the like. In
embodiments, the campaign is selected from the group consisting of
a translation project, a clean water project, an education project,
a building project, a missionary project, a disaster relief
project, a restoration project, an acquisition project and
combinations thereof. In embodiments, the recorded interaction of
the visitor with the specific venue exhibit associated with the
ongoing campaign is analyzed based on video taken of a face of the
visitor. In embodiments, the recorded interaction of the visitor
with the specific venue exhibit is analyzed using visual affect
(emotion or sentiment) detection, which may include training a
machine learning system on a training set of data that has been
reviewed by human reviewers, which may be subsequently further
trained based on outcomes, such as success in recognizing sentiment
or emotion, or overall outcomes of the information technology
platform 100.
[0116] In embodiments, the call-to-action is selected from a group
consisting of a request for a donation, a request for subscription,
a request to share on social media, a request to provide metadata
about the visitor for display on an endorsement, a request to share
the campaign with others, a request to be contacted further, a
request to donate on behalf of another, a request to sponsor an
other campaign participant, a request for sponsorship by an other
visitor to participate in a campaign. In embodiments, the program
automatically queries a sponsored visitor to request an update on
participation by the sponsored visitor in the campaign. In
embodiments, the campaign has specific actions and the program
queries a sponsored visitor whether the sponsored visitor has
completed the specific actions. In embodiments, the steps further
include the step of automatically subscribing the visitor to an
ongoing email or push-messaging update about a status of the
campaign. In embodiments, the ongoing email or push-messaging
update provides a specific update on a sponsored visitor, wherein
the visitor subscribed to the update is a sponsor of the sponsored
visitor, and wherein the update includes a status of completion of
specific actions by the sponsored visitor.
[0117] FIG. 15 illustrates methods and systems for providing a
visitor to a museum, zoo or other non-profit venue a campaign
participation opportunity based on an interaction of the visitor
with a specific venue exhibit in accordance with embodiments
disclosed herein. As depicted at 1501, the method includes
"executing a program on a mobile computing device carried by the
visitor, which, when executed, performs the steps of:" At 1502, the
method includes analyzing a path of the visitor taken through the
non-profit venue using a set of tracking systems. At 1504, the
method includes recording the interaction of the visitor with a
specific venue exhibit associated with an ongoing campaign.
Interactions may include reactions (such as recorded by a camera, a
motion tracking, a gestural recognition system, an audio system, or
the like), user input (such as by voice, touch, gesture, or the
like, including inputs indicating interest, ratings, sentiment,
support, and the like), time-based measures of interaction (such as
dwell times in proximity to an exhibit, dwell times of attention to
particular portions of an exhibit (such as measured by eye
tracking), and the like), interactions involving user choices (such
as behavior in games, contests, puzzles and the like) and others.
At 1506, the method includes in response to detecting that the
visitor interaction with the specific venue exhibit exceeds a
threshold, providing a visitor vector to a recommendation engine
112; the visitor vector includes data indicating that the visitor
has shown interest in the specific venue exhibit associated with
the campaign. At 1508, the method includes using results output by
the recommendation engine 112, presenting a relevant call-to-action
to the visitor to direct a portion of funds contributed by the
visitor to the campaign in which the visitor has shown interest. In
embodiments, the funds contributed by the visitor include a
contribution in exchange for admission to the venue, and, in
response to the contribution in exchange for admission, the visitor
is given authority to direct a virtual credit to the campaign in
further response to the relevant call-to-action. In embodiments,
the steps further include communicating with a retail point-of-sale
system, wherein the retail point-of-sale system presents the
relevant call-to-action to the visitor, and wherein the
point-of-sale system allocates a portion of funds received from the
visitor by the point-of-sale system to the campaign in response to
instructions from the visitor. In embodiments, the instructions
include communicating a selection via the point-of-sale system. In
embodiments, the instructions include communicating a selection via
the mobile computing device. In embodiments, the mobile computing
device includes a digital guide. In embodiments, the steps further
include communicating with the visitor via a website or mobile app,
wherein the visitor is outside of the venue after the visitor has
exited the venue after the visitor has visited the venue; and the
website or mobile app presents the relevant call-to-action to the
visitor, wherein the website or mobile app allocates a portion of
the funds contributed by the visitor to the campaign in response to
instructions from the visitor entered via the website or mobile
app. In embodiments, the steps further include communicating with
the visitor via a website or mobile app, wherein the visitor is
outside of the venue before the visitor has entered the venue
before the visitor has visited the venue; and the website or mobile
app presents the relevant call-to-action to the visitor, wherein
the website or mobile app allocates a portion of the funds
contributed by the visitor to the campaign in response to
instructions from the visitor entered via the website or mobile
app. In embodiments, the campaign is selected from the group
consisting of a translation project, a clean water project, an
education project, a building project, a missionary project, a
disaster relief project, a restoration project, an acquisition
project and combinations thereof. In embodiments the recorded
interaction of the visitor with the specific venue exhibit
associated with the ongoing campaign is analyzed based on video
taken of a face of the visitor. In embodiments, the recorded
interaction of the visitor with the specific venue exhibit is
analyzed by the mobile computing device or by a platform in
communication therewith using visual affect (e.g., mood, emotion or
sentiment) detection, such as using a machine learning system that
is trained for the purpose of detecting sentiment. In embodiment,
camera-based sentiment detection is trained specifically on
outcomes of a set of requests for philanthropic activity, such as
donations in response to calls-to-action, so that the information
technology platform 100 can recognize visitors 102 who are most
likely to be willing to engage in philanthropic activity at a given
time and place, thereby providing timely requests and avoiding
unnecessary solicitation throughout a visitor's visit to the venue.
In embodiments, the call-to-action is selected from the group
consisting of a request for a donation, a request for subscription,
a request to share on social media, a request to provide metadata
about the visitor for display on an endorsement, a request to share
the campaign with others, a request to be contacted further, a
request to donate on behalf of another, a request to sponsor an
other campaign participant, a request for sponsorship by an other
visitor to participate in a campaign. In embodiments, a machine
learning system may be trained based on outcomes (e.g., donations
or other philanthropic activity) in response to different types of
call-to-action in order to adjust one or more parameters, such as
the type, timing, presentation and location of the
call-to-action.
[0118] FIG. 16 illustrates methods and systems 100 for providing to
a visitor 102 of a venue 104, a campaign participation opportunity
based on interactions within the venue 104 in accordance with
embodiments disclosed herein. The system 100 includes a path
tracking system 114 for determining a path of the visitor 102 taken
through the venue 104. The system 100 includes an interaction
tracking system 115 for determining at least one interaction of the
visitor 102 with at least one exhibit 116 that is associated with
an ongoing campaign. The system 100 includes a recommendation
engine 112 for processing the interaction to provide a
recommendation for an action related to the campaign. In
embodiments, upon detecting that an interaction by the visitor 102
with a specific exhibit 116 exceeds a threshold level of
interaction, the interaction information is provided to the
recommendation engine 112. In embodiments, the recommendation
engine 112 provides a relevant call-to-action to the visitor 102 to
participate in a campaign that is related to the specific exhibit
for which the interaction was tracked. In embodiments, the venue is
a museum 130. In embodiments, the venue is a zoo 132. Examples of
the venues 104 further include an exhibition 134, a park 138, a
temporary venue 140, a retrofit installation 142, and the like. In
embodiments, the venue is a non-profit venue. The server 106 is in
communication with a mobile device 108 via the network 110. The
mobile device 108 is to be carried by the visitor 102, and
communicate with the network 110, for example, to determine a
context, location and other personalized information about the
visitor 102. In embodiments, tracking interactions of the visitor
102 with an exhibit 116 includes recording video of the face of the
visitor 102 and using a machine learning system to analyze
interactions based on the video of the face of the visitor 102 to
determine a sentiment of the visitor 102 with respect to the
exhibit 116. In embodiments, the campaign is selected from
charitable projects in the group consisting of a translation
project, a clean water project, an education project, a building
project, a missionary project, a disaster relief project, a
restoration project, an acquisition project, and combinations
thereof. In embodiments, the call-to-action presented to the
visitor is selected from a group consisting of a request for
donation, a request for subscription, a request to share on social
media, a request to provide metadata about the visitor for display
on an endorsement, a request to share the campaign with others, a
request to provide permission to be contacted further, a request to
donate on behalf of another, a request to sponsor another campaign
participant, a request for sponsorship by another to participate in
the campaign, and combinations thereof. In embodiments, upon
receiving input from the visitor 102 to create a campaign related
to an exhibit 116, the visitor is provided with an interface to
create a new campaign and provide information about the campaign.
In embodiments, the campaign is uploaded to a server 106 and
information about the campaign is displayed on a display device in
proximity to the exhibit. In embodiments, this information is
provided as an input, such as a feature vector, profile, or the
like to recommendation engine 112. In embodiments, using the
results of the recommendation engine 112, a relevant call-to-action
is presented to a second visitor to participate in the
campaign.
[0119] FIG. 17 illustrates methods and systems for coordinating
personalized experiences between cooperating venues, such as
museums, zoos or other non-profit venues in accordance with
embodiments disclosed herein. At 1702, the method includes
identifying a visitor to a current venue using an authentication
system in a mobile application. At 1704, the method includes
displaying an interface of multimedia available in specific
physical or virtual displays in site plans from a plurality of
non-profit venues. At 1706, the method includes accessing
multimedia assets relating to specific physical or virtual displays
in one or more site plans. At 1708, the method includes accessing
categorical or topical metadata to associate with the multimedia
assets. At 1710, the method includes collecting personalized
interest data relating to the visitor to at least one of the
non-profit venues, the personalized interest data including
visitor-provided preference data, passively-collected visitor
interaction data, and visitor route data. At 1712, the method
includes providing a selection or sequence of venue location
recommendations for the visitor that include recommendations and
multimedia relating to an other venue different from the current
venue. In embodiments, the personalized interest data is collected
from visits by the visitor to multiple non-profit venues using a
plurality of capture devices. In embodiments, the personalized
interest data is collected using a mobile application. In
embodiments, the personalized interest data is collected using
devices from the group consisting of wireless beacons, cameras,
biometric sensors, a sensor network, and combinations thereof. In
embodiments, the personalized interest data is collected by
tracking visitor interaction with venue displays. In embodiments,
the personalized interest data is collected by tracking visitor use
of a venue guide device, for example, provided by a host of the
venue. In embodiments, the preference data for the prospective
visitor is generated from visitor information collected from a
visitor unrelated to the cooperating non-profit venues.
[0120] FIG. 18 illustrates methods and systems for creating
personalized multi-venue non-profit venue experiences in accordance
with embodiments disclosed herein. At 1802, the method includes
accessing a list of multimedia assets relating to specific physical
or virtual exhibits from a plurality of non-profit venues. At 1804,
the method includes receiving categorical or topical metadata to
associate with the multimedia assets. At 1806, the method includes
receiving personalized interest data for a visitor to at least one
of the non-profit venues, the personalized interest data including
visitor-provided preference data, passively-collected visitor
interaction data, and visitor route data. At 1808, the method
includes receiving personalized interest data for a plurality of
non-profit venue visitors relating to multiple non-profit venues
for each visitor (including situations where a single visitor
visits different venues). At 1810, the method includes receiving
preference data relating to a category of non-profit venue visitor.
At 1812, the method includes applying a machine learning algorithm
to analyze the metadata, the personalized interest data, and the
preference data relating to the category of non-profit venue
visitor. At 1812, the method includes generating a recommendation
of a sequence of multimedia exhibits, wherein a first portion of
the sequence relates to a first non-profit venue, and a second
portion of the sequence relates to a second non-profit venue. In
embodiments, the personalized interest data is collected from
visits by visitors across multiple venues using a plurality of
capture devices. In embodiments, the personalized interest data is
collected using a mobile application. In embodiments, the
personalized interest data is collected using a wireless beacon. In
embodiments, the personalized interest data is collected using a
camera. In embodiments, the personalized interest data is collected
using a biometric sensor. In embodiments, the personalized interest
data is collected using a sensor network. In embodiments, the
personalized interest data is collected by tracking a visitor
interaction with a venue display. In embodiments, the personalized
interest data is collected by tracking a use by a visitor of a
venue guide device. In embodiments, the machine learning system
assembles a sequence or selection based at least in part on a
personal route taken by the visitor through one or more site plans.
In embodiments, the machine learning system assembles a sequence or
selection based in part on a selection made by the visitor at a
venue location.
[0121] FIG. 19 illustrates methods and systems for cross-venue
referral for a visitor to a non-profit venue in a group of
cooperating non-profit venues in accordance with embodiments of the
present disclosure. At 1902, the method includes receiving
personalized interest data from among a set of visitor-provided
preference data, passively-collected visitor interaction data, and
visitor route data for a plurality of visitors to non-profit venues
across a plurality of non-profit venues. At 1904, the method
includes receiving preference data relating to a specific set of
visitors. At 1906, the method includes applying a machine learning
algorithm to analyze the personalized interest data and the
preference data relating to the specific set of visitors. At 1908,
the method includes generating a recommendation of a selection or
sequence of non-profit venue locations for the specific set of
visitors relating to at least a portion of the plurality of the
non-profit venues. In embodiments, the recommendation includes a
promotion or discount to attend an other non-profit venue. In
embodiments, the recommendation is provided to the specific set of
visitors via a medium selected from the group consisting of email,
push messaging, virtual reality, mobile applications, augmented
reality, a kiosk, an audio interface, and combinations thereof. In
embodiments, the recommendation is based in part on the
contribution history of the specific set of visitors. In
embodiments, the venues in the group of cooperating non-profit
venues are classified into categories, and the preference data for
a prospective set of visitors to a venue in a first category is
collected from a set of visitors to an other venue in an other
category of venues.
[0122] FIG. 20 illustrates methods and systems for automating
content selection for a personalized museum, zoo or other
non-profit venue experience in accordance with embodiments
disclosed herein. At 2002, the method includes accessing a list of
multimedia assets relating to specific physical or virtual displays
in at least one site plan. At 2004, the method includes receiving
categorical or topical metadata to associate with the multimedia
assets. At 2006, the method includes receiving personalized
interest data for a venue visitor selected from among
visitor-provided preference data, passively-collected visitor
interaction data, and visitor route data. At 2008, the method
includes receiving personalized interest data for a plurality of
venue visitors relating to multiple non-profit venues for each
visitor. At 2010, the method includes receiving preference data
relating to a prospective venue visitor. At 2012 the method
includes applying a machine learning algorithm to analyze the
metadata, the venue visitor data and the prospective visitor data,
and generating a selection or sequence of museum venue location
recommendations for the prospective visitor. In embodiments, the
personalized interest data is collected from visits by the visitor
to multiple non-profit venues using a plurality of capture devices.
In embodiments, the personalized interest data is collected using a
mobile application. In embodiments, the personalized interest data
is collected using a wireless beacon. In embodiments, the
personalized interest data is collected using a camera. In
embodiments, the personalized interest data is collected using a
biometric sensor. In embodiments, the personalized interest data is
collected using a sensor network. In embodiments, the personalized
interest data is collected by tracking a visitor interaction with a
venue display. In embodiments, the personalized interest data is
collected by tracking a use by a visitor of a venue guide device.
In embodiments, the multiple non-profit venues are classified into
categories, and preference data for a prospective visitor to a
venue in a first category is collected from a visitor to an other
venue in an other category of venues disrelated from the first
category.
[0123] FIG. 21 illustrates methods and systems for providing a
coordinated experience for a visitor to a non-profit venue in a
group of cooperating non-profit venues. At 2102, the method
includes providing an interface for management of multimedia
assets. At 2104, the method includes receiving an assignment of
multimedia assets relating to specific physical or virtual displays
in one or more site plans. At 2106, the method includes receiving
categorical or topical metadata to associate with multimedia
assets. At 2108, the method includes providing an interface for
receipt of personalized interest data for a visitor to a venue,
including data selected from among visitor-provided preference
data, passively-collected visitor interaction data, and visitor
route data. At 2110, the method includes receiving personalized
interest data for a plurality of visitors to non-profit venues
relating to multiple non-profit venues for each visitor. At 2112,
the method includes applying a machine learning algorithm to the
analyze the multimedia and the personalized interest data for the
plurality of visitors. At 2114, the method includes generating a
plurality of generic visitor profiles and a corresponding plurality
of selection or sequence of venue location recommendations. In
embodiments, the management interface further provides a heat map
showing paths of visitors through the non-profit venue. In
embodiments, the heat map is further segmented according to the
generic visitor profiles. In embodiments, the personalized interest
data is collected from visits by visitors across multiple venues
using a plurality of capture devices. In embodiments, the
personalized interest data is collected using a mobile application.
In embodiments, the personalized interest data is collected using a
device selected from the group consisting of a wireless beacon, a
camera, a biometric sensor, a sensor network, and combinations
thereof. In embodiments, the personalized interest data is
collected by tracking a visitor interaction with a venue display.
In embodiments, the personalized interest data is collected by use
by a visitor of a venue guide device, such as provided by a host of
a venue. In embodiments, the machine learning system assembles a
sequence or selection based at least in part on a personal route
taken by the visitor through one or more site plans. In
embodiments, the machine learning system assembles a sequence or
selection based in part on a selection made by the visitor at a
venue location. In embodiments, the multimedia assets are
interactive. In embodiments, an interactive multimedia asset is
assigned to use an audio, visual, tactile, or movement capture
device associated with a location in the venue. In embodiments, the
management interface further provides an interface for creating an
interactive campaign, wherein information about the interactive
campaign is displayed at a plurality of locations or sites, wherein
the information about the interactive campaign is displayed
simultaneously at the plurality of locations or sites, and wherein
visitors at the plurality of locations have access to real-time
interaction or real-time communication with each other. In
embodiments, a mode of the real-time communication is selected from
the group consisting of audio conferencing, video conferencing,
virtual reality conferencing, collaborative text chat, holographic
conferencing, and combinations thereof. In embodiments, the
locations in the site plans are associated with a wireless
beacon.
[0124] FIG. 22 illustrates methods and systems for providing
supplemental media to a visitor at a museum, zoo or other
non-profit venue in accordance with embodiments disclosed herein.
As depicted at 2201, the method includes "executing an application
on a mobile computing device carried by the visitor, which, when
executed, performs the steps of:" At 2202, the method includes
tracking a specific path of the visitor through the venue using a
set of tracking systems. At 2204, the method includes tracking
locations where the visitor stopped and waited. At 2206, the method
includes storing the specific path of the visitor on a remote
server. At 2208, the method includes providing a digital map to the
visitor on the mobile computing device carried by the visitor. At
2210, the method includes determining, from the specific path of
the visitor stored on the remote server, whether or not the visitor
had come into proximity of certain exhibits or objects depicted on
the digital map. At 2212, the method includes, in response to the
determining, selectively allowing the visitor to view information
about the exhibits or the objects on the digital map if the visitor
had come into proximity of the exhibits or the objects. In
embodiments, the information is selected from the group consisting
of high-resolution imagery, video, captioning, textual data, live
video feed, donation information, and combinations thereof. In
embodiments, the set of tracking systems includes a Radio Frequency
(RF) beacon, an access point, an Indoor Positioning System (IPS), a
Global Positioning System (GPS), a local proximity detection
system, a Quick Response (QR) code scanning system, or an image
recognition system. In embodiments, the local proximity detection
system includes at least one of a Near-Field Communication (NFC)
system, a Wi-Fi system, an RF system, a cellular system, an IoT
system, and a Bluetooth system. In embodiments, the method further
includes selectively preventing the visitor from viewing the
information about the exhibits or the objects on the digital map if
the visitor had not come into proximity of the exhibits or the
objects.
[0125] FIG. 23 illustrates methods and systems for providing
personalized venue visit recommendations to a visitor at a museum,
a zoo or other non-profit venue in accordance with embodiments
disclosed herein. At 2302, the method includes providing a
management interface for management of a set of multimedia assets.
At 2304, the method includes receiving a mapping of multimedia
assets to specific physical or virtual displays in at least one
site plan. At 2306, the method includes receiving topical metadata
for the set of multimedia assets. At 2308, the method includes
providing an interface for receiving data indicating personal
interests of a visitor to the venue, wherein the data indicating
personal interests of the visitor to the venue includes
visitor-provided preference data and passively-collected visitor
interaction data. At 2310, the method includes receiving personal
interest data for a plurality of venue visitors. At 2312, the
method includes receiving preference data relating to a prospective
visitor. At 2314, the method includes applying a machine learning
system to analyze the metadata, the data indicating personal
interests of the visitor, the personal interest data for the
plurality of venue visitors, and the preference data relating to
the prospective visitor. At 2316, the method includes generating a
selection or sequence of venue location recommendations for the
prospective visitor. In embodiments, the machine learning system
assembles a sequence or selection based at least in part on visitor
selections made at the venue. In embodiments, the machine learning
system generates recommendations based at least in part on a
donation history of the prospective visitor. In embodiments, the
machine learning system generates recommendations based at least in
part on a donation history of visitors with similar interests to
the prospective visitor. In embodiments, the management interface
further provides an interface for creating an interactive campaign,
wherein information about the interactive campaign is displayed at
multiple locations or sites, wherein the information about the
interactive campaign is displayed simultaneously at the multiple
locations or sites, and wherein a visitor at one of the multiple
locations or sites can interact or communicate with at least one
other visitor at least one other location or site in real time. In
embodiments, the real-time communication is selected from the group
consisting of audio conferencing, video conferencing, virtual
reality conferencing, collaborative text chat, holographic
conferencing, and combinations thereof. In embodiments, the venue
locations are associated with corresponding wireless beacons.
[0126] The methods and systems described herein may be deployed in
part or in whole through a machine that executes computer software,
program codes, and/or instructions on a processor. The present
disclosure may be implemented as a method on the machine, as a
system or apparatus as part of or in relation to the machine, or as
a computer program product embodied in a computer readable medium
executing on one or more of the machines. In embodiments, the
processor may be part of a server, cloud server, client, network
infrastructure, mobile computing platform, stationary computing
platform, or other computing platforms. A processor may be any kind
of computational or processing device capable of executing program
instructions, codes, binary instructions and the like. The
processor may be or may include a signal processor, digital
processor, embedded processor, microprocessor or any variant such
as a co-processor (math co-processor, graphic co-processor,
communication co-processor and the like) and the like that may
directly or indirectly facilitate execution of program code or
program instructions stored thereon. In addition, the processor may
enable execution of multiple programs, threads, and codes. The
threads may be executed simultaneously to enhance the performance
of the processor and to facilitate simultaneous operations of the
application. By way of implementation, methods, program codes,
program instructions and the like described herein may be
implemented in one or more threads. The thread may spawn other
threads that may have assigned priorities associated with them; the
processor may execute these threads based on priority or any other
order based on instructions provided in the program code. The
processor, or any machine utilizing one, may include non-transitory
memory that stores methods, codes, instructions and programs as
described herein and elsewhere. The processor may access a
non-transitory storage medium through an interface that may store
methods, codes, and instructions as described herein and elsewhere.
The storage medium associated with the processor for storing
methods, programs, codes, program instructions or other type of
instructions capable of being executed by the computing or
processing device may include but may not be limited to one or more
of a CD-ROM, DVD, memory, hard disk, flash drive, RAM, ROM, cache
and the like.
[0127] A processor may include one or more cores that may enhance
speed and performance of a multiprocessor. In embodiments, the
process may be a dual core processor, quad core processors, other
chip-level multiprocessor and the like that combine two or more
independent cores (called a die).
[0128] The methods and systems described herein may be deployed in
part or in whole through a machine that executes computer software
on a server, client, firewall, gateway, hub, router, or other such
computer and/or networking hardware. The software program may be
associated with a server that may include a file server, print
server, domain server, internet server, intranet server, cloud
server, and other variants such as secondary server, host server,
distributed server and the like. The server may include one or more
of memories, processors, computer readable media, storage media,
ports (physical and virtual), communication devices, and interfaces
capable of accessing other servers, clients, machines, and devices
through a wired or a wireless medium, and the like. The methods,
programs, or codes as described herein and elsewhere may be
executed by the server. In addition, other devices required for
execution of methods as described in this application may be
considered as a part of the infrastructure associated with the
server.
[0129] The server may provide an interface to other devices
including, without limitation, clients, other servers, printers,
database servers, print servers, file servers, communication
servers, distributed servers, social networks, and the like.
Additionally, this coupling and/or connection may facilitate remote
execution of programs across the network. The networking of some or
all of these devices may facilitate parallel processing of a
program or method at one or more location without deviating from
the scope of the disclosure. In addition, any of the devices
attached to the server through an interface may include at least
one storage medium capable of storing methods, programs, code
and/or instructions. A central repository may provide program
instructions to be executed on different devices. In this
implementation, the remote repository may act as a storage medium
for program code, instructions, and programs.
[0130] The software program may be associated with a client that
may include a file client, print client, domain client, internet
client, intranet client and other variants such as secondary
client, host client, distributed client and the like. The client
may include one or more of memories, processors, computer readable
media, storage media, ports (physical and virtual), communication
devices, and interfaces capable of accessing other clients,
servers, machines, and devices through a wired or a wireless
medium, and the like. The methods, programs, or codes as described
herein and elsewhere may be executed by the client. In addition,
other devices required for execution of methods as described in
this application may be considered as a part of the infrastructure
associated with the client.
[0131] The client may provide an interface to other devices
including, without limitation, servers, other clients, printers,
database servers, print servers, file servers, communication
servers, distributed servers and the like. Additionally, this
coupling and/or connection may facilitate remote execution of
program across the network. The networking of some or all of these
devices may facilitate parallel processing of a program or method
at one or more location without deviating from the scope of the
disclosure. In addition, any of the devices attached to the client
through an interface may include at least one storage medium
capable of storing methods, programs, applications, code and/or
instructions. A central repository may provide program instructions
to be executed on different devices. In this implementation, the
remote repository may act as a storage medium for program code,
instructions, and programs.
[0132] The methods and systems described herein may be deployed in
part or in whole through network infrastructures. The network
infrastructure may include elements such as computing devices,
servers, routers, hubs, firewalls, clients, personal computers,
communication devices, routing devices and other active and passive
devices, modules and/or components as known in the art. The
computing and/or non-computing device(s) associated with the
network infrastructure may include, apart from other components, a
storage medium such as flash memory, buffer, stack, RAM, ROM and
the like. The processes, methods, program codes, instructions
described herein and elsewhere may be executed by one or more of
the network infrastructural elements. The methods and systems
described herein may be adapted for use with any kind of private,
community, or hybrid cloud computing network or cloud computing
environment, including those which involve features of software as
a service (SaaS), platform as a service (PaaS), and/or
infrastructure as a service (IaaS).
[0133] The methods, program codes, and instructions described
herein and elsewhere may be implemented on a cellular network
having multiple cells. The cellular network may either be frequency
division multiple access (FDMA) network or code division multiple
access (CDMA) network. The cellular network may include mobile
devices, cell sites, base stations, repeaters, antennas, towers,
and the like. The cell network may be a GSM, GPRS, 3G, EVDO, mesh,
or other networks types.
[0134] The methods, program codes, and instructions described
herein and elsewhere may be implemented on or through mobile
devices. The mobile devices may include navigation devices, cell
phones, mobile phones, mobile personal digital assistants, laptops,
palmtops, netbooks, pagers, electronic books readers, music players
and the like. These devices may include, apart from other
components, a storage medium such as a flash memory, buffer, RAM,
ROM and one or more computing devices. The computing devices
associated with mobile devices may be enabled to execute program
codes, methods, and instructions stored thereon. Alternatively, the
mobile devices may be configured to execute instructions in
collaboration with other devices. The mobile devices may
communicate with base stations interfaced with servers and
configured to execute program codes. The mobile devices may
communicate on a peer-to-peer network, mesh network, or other
communications network. The program code may be stored on the
storage medium associated with the server and executed by a
computing device embedded within the server. The base station may
include a computing device and a storage medium. The storage device
may store program codes and instructions executed by the computing
devices associated with the base station.
[0135] The computer software, program codes, and/or instructions
may be stored and/or accessed on machine readable media that may
include: computer components, devices, and recording media that
retain digital data used for computing for some interval of time;
semiconductor storage known as random access memory (RAM); mass
storage typically for more permanent storage, such as optical
discs, forms of magnetic storage like hard disks, tapes, drums,
cards and other types; processor registers, cache memory, volatile
memory, non-volatile memory; optical storage such as CD, DVD;
removable media such as flash memory (e.g., USB sticks or keys),
floppy disks, magnetic tape, paper tape, punch cards, standalone
RAM disks, Zip drives, removable mass storage, off-line, and the
like; other computer memory such as dynamic memory, static memory,
read/write storage, mutable storage, read only, random access,
sequential access, location addressable, file addressable, content
addressable, network attached storage, storage area network, bar
codes, magnetic ink, and the like.
[0136] The methods and systems described herein may transform
physical and/or intangible items from one state to another. The
methods and systems described herein may also transform data
representing physical and/or intangible items from one state to
another.
[0137] The elements described and depicted herein, including in
flow charts and block diagrams throughout the figures, imply
logical boundaries between the elements. However, according to
software or hardware engineering practices, the depicted elements
and the functions thereof may be implemented on machines through
computer executable media having a processor capable of executing
program instructions stored thereon as a monolithic software
structure, as standalone software modules, or as modules that
employ external routines, code, services, and so forth, or any
combination of these, and all such implementations may be within
the scope of the present disclosure. Examples of such machines may
include, but may not be limited to, personal digital assistants,
laptops, personal computers, mobile phones, other handheld
computing devices, medical equipment, wired or wireless
communication devices, transducers, chips, calculators, satellites,
tablet PCs, electronic books, gadgets, electronic devices, devices
having artificial intelligence, computing devices, networking
equipment, servers, routers and the like. Furthermore, the elements
depicted in the flow chart and block diagrams or any other logical
component may be implemented on a machine capable of executing
program instructions. Thus, while the foregoing drawings and
descriptions set forth functional aspects of the disclosed systems,
no particular arrangement of software for implementing these
functional aspects should be inferred from these descriptions
unless explicitly stated or otherwise clear from the context.
Similarly, it will be appreciated that the various portions of
methods identified and described above may be varied and that the
any one method or portions thereof may be adapted to particular
applications of the techniques disclosed herein. All such
variations and modifications are intended to fall within the scope
of this disclosure. As such, the depiction and/or description of an
order for various portions of methods should not be understood to
require a particular order of execution, unless required by a
particular application, or explicitly stated or otherwise clear
from the context.
[0138] The methods and/or processes described above, and portions
associated therewith, may be realized in hardware, software or any
combination of hardware and software suitable for a particular
application. The hardware may include a general-purpose computer
and/or dedicated computing device or specific computing device or
particular aspect or component of a specific computing device. The
processes may be realized in one or more microprocessors,
microcontrollers, embedded microcontrollers, programmable digital
signal processors or other programmable devices, along with
internal and/or external memory. The processes may also, or
instead, be embodied in an application specific integrated circuit,
a programmable gate array, programmable array logic, or any other
device or combination of devices that may be configured to process
electronic signals. It will further be appreciated that one or more
of the processes may be realized as a computer executable code
capable of being executed on a machine-readable medium.
[0139] The computer executable code may be created using a
structured programming language such as C, an object oriented
programming language such as C++, or any other high-level or
low-level programming language (including assembly languages,
hardware description languages, and database programming languages
and technologies) that may be stored, compiled or interpreted to
run on one of the above devices, as well as heterogeneous
combinations of processors, processor architectures, or
combinations of different hardware and software, or any other
machine capable of executing program instructions.
[0140] Thus, in one aspect, methods described above and
combinations thereof may be embodied in computer executable code
that, when executing on one or more computing devices, performs the
portions of methods thereof. In another aspect, the methods may be
embodied in systems that perform the portions of the methods
thereof and may be distributed across devices in a number of ways,
or all of the functionality may be integrated into a dedicated,
standalone device or other hardware. In another aspect, the means
for performing the portions of the processes described above may
include any of the hardware and/or software described above. All
such permutations and combinations are intended to fall within the
scope of the present disclosure.
[0141] The method steps of the implementations described herein are
intended to include any suitable method of causing such method
steps to be performed, consistent with the patentability of the
following claims, unless a different meaning is expressly provided
or otherwise clear from the context. For example, performing the
step of X includes any suitable method for causing another party
such as a remote user, a remote processing resource (e.g., a server
or cloud computer) or a machine to perform the step of X.
Similarly, performing steps X, Y and Z may include any method of
directing or controlling any combination of such other individuals
or resources to perform steps X, Y and Z to obtain the benefit of
such steps. Thus, method steps of the implementations described
herein are intended to include any suitable method of causing one
or more other parties or entities to perform the steps, consistent
with the patentability of the following claims, unless a different
meaning is expressly provided or otherwise clear from the context.
Such parties or entities need not be under the direction or control
of any other party or entity and need not be located within a
particular jurisdiction.
[0142] While the disclosure has been disclosed in connection with
the many embodiments shown and described in detail, various
modifications and improvements thereon will become readily apparent
to those skilled in the art. Accordingly, the spirit and scope of
the present disclosure is not to be limited by the foregoing
examples but is to be understood in the broadest sense allowable by
law.
[0143] The use of the terms "a" and "an" and "the" and similar
referents in the context of describing the disclosure (especially
in the context of the following claims) is to be construed to cover
both the singular and the plural unless otherwise indicated herein
or clearly contradicted by context. The terms "comprising,"
"having," "including," and "containing" are to be construed as
open-ended terms (i.e., meaning "including, but not limited to,")
unless otherwise noted. The term "set" is to be construed as a
group having one or more members. Recitations of ranges of values
herein are merely intended to serve as a shorthand method of
referring individually to each separate value falling within the
range, unless otherwise indicated herein, and each separate value
is incorporated into the specification as if it were individually
recited herein. All methods described herein may be performed in
any suitable order unless otherwise indicated herein or otherwise
clearly contradicted by context. The use of any and all examples,
or exemplary language (e.g., "such as") provided herein, is
intended merely to better illuminate the disclosure and does not
pose a limitation on the scope of the disclosure unless otherwise
claimed. No language in the specification should be construed as
indicating any non-claimed element as essential to the practice of
the disclosure.
[0144] While the foregoing written description enables one skilled
in the art to make and use what is considered presently to be the
best mode thereof, those skilled in the art will understand and
appreciate the existence of variations, combinations, and
equivalents of the specific embodiment, method, and examples
herein. The disclosure should therefore not be limited by the above
described embodiment, method, and examples, but by all embodiments
and methods within the scope and spirit of the disclosure. All
documents referenced herein are hereby incorporated by
reference.
* * * * *