Generating customized avatars based on location information

Information

  • Patent Grant
  • 11199957
  • Patent Number
    11,199,957
  • Date Filed
    Friday, February 15, 2019
    5 years ago
  • Date Issued
    Tuesday, December 14, 2021
    2 years ago
Abstract
Method of generating customized avatars based on location information includes processor receiving from first client device location information including a location of the first client device. Processor causes a status interface to be displayed on first client device that includes selectable location items corresponding to locations based on the location information. Processor receives a selection from first client device of first selectable location item and causes avatar selection interface to be displayed on first client device that includes versions of first avatar performing actions related to the first selectable location item. Processor receives selection of first selectable version of the first avatar and generates a map interface that includes a map display based on the location information and the first selectable version of the first avatar. Processor causes the map interface to be displayed on at least one of the plurality of client devices. Other embodiments are disclosed.
Description
BACKGROUND

The popularity of electronic messaging, particularly instant messaging, continues to grow. Users increasingly share media content items such as electronic images and videos with each other, reflecting a global demand to communicate more visually.


Users also increasingly use customized avatars that can be personalized to represent the users in various applications, video games, messaging services, etc. Since the customized avatars can be generated in a different array of situations, displaying various emotions, or even be animated, the users are able to communicate their feelings and actions more accurately in the systems using the customized avatars.


With the increasing number of users on social networking systems, each user also has a growing network of individuals that she follows. Therefore, in order to maintain the user's engagement on social networking systems, it is paramount that the systems have the ability to present to each user the media content items that are most interesting or relevant to her. In addition to the need to curate the media content items, the social networking systems are also presented with the challenge of providing a graphical user interface that captivates the user's attention and allows her to view the curated media content items and further interact the network of individuals that she follows.





BRIEF DESCRIPTION OF THE DRAWINGS

In the drawings, which are not necessarily drawn to scale, like numerals may describe similar components in different views. Like numerals having different letter suffixes may represent different instances of similar components. Some embodiments are illustrated by way of example, and not limitation, in the figures of the accompanying drawings in which:



FIG. 1 is a block diagram showing an example messaging system for exchanging data (e.g., messages and associated content) over a network.



FIG. 2 is block diagram illustrating further details regarding a messaging system, according to exemplary embodiments.



FIG. 3 is a schematic diagram illustrating data which may be stored in the database of the messaging server system, according to various exemplary embodiments.



FIG. 4 is an exemplary flow diagram of a process according to various aspects of the disclosure.



FIGS. 5A-5F are exemplary interfaces according to various aspects of the disclosure.



FIG. 6 is a block diagram illustrating a representative software architecture, which may be used in conjunction with various hardware architectures herein described.



FIG. 7 is a block diagram illustrating components of a machine, according to some exemplary embodiments, able to read instructions from a machine-readable medium (e.g., a machine-readable storage medium) and perform any one or more of the methodologies discussed herein.





DETAILED DESCRIPTION

The description that follows includes systems, methods, techniques, instruction sequences, and computing machine program products that embody illustrative embodiments of the disclosure. In the following description, for the purposes of explanation, numerous specific details are set forth in order to provide an understanding of various embodiments of the inventive subject matter. It will be evident, however, to those skilled in the art, that embodiments of the inventive subject matter may be practiced without these specific details. In general, well-known instruction instances, protocols, structures, and techniques are not necessarily shown in detail.


Among other things, embodiments of the present disclosure improve the functionality of electronic messaging software and systems by providing the user increased control over his customized avatar's appearance on the system's communication interface. Based on the current location of the user, the user may select to have the customized avatar appear to perform actions related to the current location of the user. For example, if the user is currently exercising at the gym, the user may select the customized avatar that is wearing his gym clothes and performing exercises.


By involving the user's avatars in the communication interface, the messaging system provides the users new way to communicate and express themselves using the system. This will increase the engagement of users with the system as well as increase the length of time the users maintain presence on the system.


Further, the customized avatar may also be displayed with a preview of new media content items that the first user has uploaded. For the other users connected on the communication server system to the first user, this interface provides better access to new media items and electronic messages.



FIG. 1 is a block diagram showing an example messaging system 100 for exchanging data (e.g., messages and associated content) over a network. The messaging system 100 includes multiple client devices 102, each of which hosts a number of applications including a messaging client application 104. Each messaging client application 104 is communicatively coupled to other instances of the messaging client application 104 and a messaging server system 108 via a network 106 (e.g., the Internet). As used herein, the term “client device” may refer to any machine that interfaces to a communications network (such as network 106) to obtain resources from one or more server systems or other client devices. A client device may be, but is not limited to, a mobile phone, desktop computer, laptop, portable digital assistants (PDAs), smart phones, tablets, ultra books, netbooks, laptops, multi-processor systems, microprocessor-based or programmable consumer electronics, game consoles, set-top boxes, or any other communication device that a user may use to access a network.


In the example shown in FIG. 1, each messaging client application 104 is able to communicate and exchange data with another messaging client application 104 and with the messaging server system 108 via the network 106. The data exchanged between messaging client applications 104, and between a messaging client application 104 and the messaging server system 108, includes functions (e.g., commands to invoke functions) as well as payload data (e.g., text, audio, video or other multimedia data).


The network 106 may include, or operate in conjunction with, an ad hoc network, an intranet, an extranet, a virtual private network (VPN), a local area network (LAN), a wireless LAN (WLAN), a wide area network (WAN), a wireless WAN (WWAN), a metropolitan area network (MAN), the Internet, a portion of the Internet, a portion of the Public Switched Telephone Network (PSTN), a plain old telephone service (POTS) network, a cellular telephone network, a wireless network, a Wi-Fi® network, another type of network, or a combination of two or more such networks. For example, a network or a portion of a network may include a wireless or cellular network and the coupling may be a Code Division Multiple Access (CDMA) connection, a Global System for Mobile communications (GSM) connection, or other type of cellular or wireless coupling. In this example, the coupling may implement any of a variety of types of data transfer technology, such as Single Carrier Radio Transmission Technology (1×RTT). Evolution-Data Optimized (EVDO) technology, General Packet Radio Service (GPRS) technology, Enhanced Data rates for GSM Evolution (EDGE) technology, third Generation Partnership Project (3GPP) including 3G, fourth generation wireless (4G) networks, Universal Mobile Telecommunications System (UMTS), High Speed Packet Access (HSPA), Worldwide Interoperability for Microwave Access (WiMAX), Long Term Evolution (LTE) standard, others defined by various standard setting organizations, other long range protocols, or other data transfer technology.


The messaging server system 108 provides server-side functionality via the network 106 to a particular messaging client application 104. While certain functions of the messaging system 100 are described herein as being performed by either a messaging client application 104 or by the messaging server system 108, it will be appreciated that the location of certain functionality either within the messaging client application 104 or the messaging server system 108 is a design choice. For example, it may be technically preferable to initially deploy certain technology and functionality within the messaging server system 108, but to later migrate this technology and functionality to the messaging client application 104 where a client device 102 has a sufficient processing capacity.


The messaging server system 108 supports various services and operations that are provided to the messaging client application 104. Such operations include transmitting data to, receiving data from, and processing data generated by the messaging client application 104. This data may include, message content, client device information, geolocation information, media annotation and overlays, message content persistence conditions, social network information, and live event information, as examples. Data exchanges within the messaging system 100 are invoked and controlled through functions available via user interfaces (UIs) of the messaging client application 104.


Turning now specifically to the messaging server system 108, an Application Program Interface (API) server 110 is coupled to, and provides a programmatic interface to, an application server 112. The application server 112 is communicatively coupled to a database server 118, which facilitates access to a database 120 in which is stored data associated with messages processed by the application server 112.


Dealing specifically with the Application Program Interface (API) server 110, this server receives and transmits message data (e.g., commands and message payloads) between the client device 102 and the application server 112. Specifically, the Application Program Interface (API) server 110 provides a set of interfaces (e.g., routines and protocols) that can be called or queried by the messaging client application 104 in order to invoke functionality of the application server 112. The Application Program Interface (API) server 110 exposes various functions supported by the application server 112, including account registration, login functionality, the sending of messages, via the application server 112, from a particular messaging client application 104 to another messaging client application 104, the sending of media files (e.g., images or video) from a messaging client application 104 to the messaging server application 114, and for possible access by another messaging client application 104, the setting of a collection of media data (e.g., story), the retrieval of a list of friends of a user of a client device 102, the retrieval of such collections, the retrieval of messages and content, the adding and deletion of friends to a social graph, the location of friends within a social graph, opening and application event (e.g., relating to the messaging client application 104).


The application server 112 hosts a number of applications and subsystems, including a messaging server application 114, an image processing system 116 and a social network system 122. The messaging server application 114 implements a number of message processing technologies and functions, particularly related to the aggregation and other processing of content (e.g., textual and multimedia content including images and video clips) included in messages received from multiple instances of the messaging client application 104. As will be described in further detail, the text and media content from multiple sources may be aggregated into collections of content (e.g., called stories or galleries). These collections are then made available, by the messaging server application 114, to the messaging client application 104. Other processor and memory intensive processing of data may also be performed server-side by the messaging server application 114, in view of the hardware requirements for such processing.


The application server 112 also includes an image processing system 116 that is dedicated to performing various image processing operations, typically with respect to images or video received within the payload of a message at the messaging server application 114.


The social network system 122 supports various social networking functions services and makes these functions and services available to the messaging server application 114. To this end, the social network system 122 maintains and accesses an entity graph 304 within the database 120. Examples of functions and services supported by the social network system 122 include the identification of other users of the messaging system 100 with which a particular user has relationships or is “following”, and also the identification of other entities and interests of a particular user.


The application server 112 is communicatively coupled to a database server 118, which facilitates access to a database 120 in which is stored data associated with messages processed by the messaging server application 114.


Some embodiments may include one or more wearable devices, such as a pendant with an integrated camera that is integrated with, in communication with, or coupled to, a client device 102. Any desired wearable device may be used in conjunction with the embodiments of the present disclosure, such as a watch, eyeglasses, goggles, a headset, a wristband, earbuds, clothing (such as a hat or jacket with integrated electronics), a clip-on electronic device, and/or any other wearable devices.



FIG. 2 is block diagram illustrating further details regarding the messaging system 100, according to exemplary embodiments. Specifically, the messaging system 100 is shown to comprise the messaging client application 104 and the application server 112, which in turn embody a number of some subsystems, namely an ephemeral timer system 202, a collection management system 204 and an annotation system 206.


The ephemeral timer system 202 is responsible for enforcing the temporary access to content permitted by the messaging client application 104 and the messaging server application 114. To this end, the ephemeral timer system 202 incorporates a number of timers that, based on duration and display parameters associated with a message, or collection of messages (e.g., a story), selectively display and enable access to messages and associated content via the messaging client application 104.


The collection management system 204 is responsible for managing collections of media (e.g., collections of text, image video and audio data). In some examples, a collection of content (e.g., messages, including images, video, text and audio) may be organized into an “event gallery” or an “event story.” Such a collection may be made available for a specified time period, such as the duration of an event to which the content relates. For example, content relating to a music concert may be made available as a “story” for the duration of that music concert. The collection management system 204 may also be responsible for publishing an icon that provides notification of the existence of a particular collection to the user interface of the messaging client application 104.


The collection management system 204 furthermore includes a curation interface 208 that allows a collection manager to manage and curate a particular collection of content. For example, the curation interface 208 enables an event organizer to curate a collection of content relating to a specific event (e.g., delete inappropriate content or redundant messages). Additionally, the collection management system 204 employs machine vision (or image recognition technology) and content rules to automatically curate a content collection. In certain embodiments, compensation may be paid to a user for inclusion of user generated content into a collection. In such cases, the curation interface 208 operates to automatically make payments to such users for the use of their content.


The annotation system 206 provides various functions that enable a user to annotate or otherwise modify or edit media content associated with a message. For example, the annotation system 206 provides functions related to the generation and publishing of media overlays for messages processed by the messaging system 100. The annotation system 206 operatively supplies a media overlay (e.g., a filter) to the messaging client application 104 based on a geolocation of the client device 102. In another example, the annotation system 206 operatively supplies a media overlay to the messaging client application 104 based on other information, such as, social network information of the user of the client device 102. A media overlay may include audio and visual content and visual effects. Examples of audio and visual content include pictures, texts, logos, animations, and sound effects. An example of a visual effect includes color overlaying. The audio and visual content or the visual effects can be applied to a media content item (e.g., a photo) at the client device 102. For example, the media overlay including text that can be overlaid on top of a photograph generated taken by the client device 102. In another example, the media overlay includes an identification of a location overlay (e.g., Venice beach), a name of a live event, or a name of a merchant overlay (e.g., Beach Coffee House). In another example, the annotation system 206 uses the geolocation of the client device 102 to identify a media overlay that includes the name of a merchant at the geolocation of the client device 102. The media overlay may include other indicia associated with the merchant. The media overlays may be stored in the database 120 and accessed through the database server 118.


In one exemplary embodiment, the annotation system 206 provides a user-based publication platform that enables users to select a geolocation on a map, and upload content associated with the selected geolocation. The user may also specify circumstances under which a particular media overlay should be offered to other users. The annotation system 206 generates a media overlay that includes the uploaded content and associates the uploaded content with the selected geolocation.


In another exemplary embodiment, the annotation system 206 provides a merchant-based publication platform that enables merchants to select a particular media overlay associated with a geolocation via a bidding process. For example, the annotation system 206 associates the media overlay of a highest bidding merchant with a corresponding geolocation for a predefined amount of time



FIG. 3 is a schematic diagram 300 illustrating data 300 which may be stored in the database 120 of the messaging server system 108, according to certain exemplary embodiments. While the content of the database 120 is shown to comprise a number of tables, it will be appreciated that the data could be stored in other types of data structures (e.g., as an object-oriented database).


The database 120 includes message data stored within a message table 314. The entity table 302 stores entity data, including an entity graph 304. Entities for which records are maintained within the entity table 302 may include individuals, corporate entities, organizations, objects, places, events etc. Regardless of type, any entity regarding which the messaging server system 108 stores data may be a recognized entity. Each entity is provided with a unique identifier, as well as an entity type identifier (not shown).


The entity graph 304 furthermore stores information regarding relationships and associations between entities. Such relationships may be social, professional (e.g., work at a common corporation or organization) interested-based or activity-based, merely for example.


The database 120 also stores annotation data, in the example form of filters, in an annotation table 312. Filters for which data is stored within the annotation table 312 are associated with and applied to videos (for which data is stored in a video table 310) and/or images (for which data is stored in an image table 308). Filters, in one example, are overlays that are displayed as overlaid on an image or video during presentation to a recipient user. Filters may be of varies types, including a user-selected filters from a gallery of filters presented to a sending user by the messaging client application 104 when the sending user is composing a message. Other types of filers include geolocation filters (also known as geo-filters) which may be presented to a sending user based on geographic location. For example, geolocation filters specific to a neighborhood or special location may be presented within a user interface by the messaging client application 104, based on geolocation information determined by a GPS unit of the client device 102. Another type of filer is a data filer, which may be selectively presented to a sending user by the messaging client application 104, based on other inputs or information gathered by the client device 102 during the message creation process. Example of data filters include current temperature at a specific location, a current speed at which a sending user is traveling, battery life for a client device 102 or the current time.


Other annotation data that may be stored within the image table 308 is so-called “lens” data. A “lens” may be a real-time special effect and sound that may be added to an image or a video.


As mentioned above, the video table 310 stores video data which, in one embodiment, is associated with messages for which records are maintained within the message table 314. Similarly, the image table 308 stores image data associated with messages for which message data is stored in the entity table 302. The entity table 302 may associate various annotations from the annotation table 312 with various images and videos stored in the image table 308 and the video table 310.


A story table 306 stores data regarding collections of messages and associated image, video or audio data, which are compiled into a collection (e.g., a story or a gallery). The creation of a particular collection may be initiated by a particular user (e.g., each user for which a record is maintained in the entity table 302). A user may create a “personal story” in the form of a collection of content that has been created and sent/broadcast by that user. To this end, the user interface of the messaging client application 104 may include an icon that is user selectable to enable a sending user to add specific content to his or her personal story.


A collection may also constitute a “live story,” which is a collection of content from multiple users that is created manually, automatically or using a combination of manual and automatic techniques. For example, a “live story” may constitute a curated stream of user-submitted content from varies locations and events. Users, whose client devices have location services enabled and are at a common location event at a particular time may, for example, be presented with an option, via a user interface of the messaging client application 104, to contribute content to a particular live story. The live story may be identified to the user by the messaging client application 104, based on his or her location. The end result is a “live story” told from a community perspective.


A further type of content collection is known as a “location story”, which enables a user whose client device 102 is located within a specific geographic location (e.g., on a college or university campus) to contribute to a particular collection. In some embodiments, a contribution to a location story may require a second degree of authentication to verify that the end user belongs to a specific organization or other entity (e.g., is a student on the university campus).


As used herein, an “electronic message” may refer to any message in electronic form, such as an email, a short message service (SMS) message, a multimedia message service (MMS) message, an instant message (IM), Internet Relay Chat (IRC) messages, as well as any other form of real-time, near-real-time, synchronous, or asynchronous electronic messaging format. Embodiments of the present disclosure may generate and present customized images for use within electronic messages such as SMS or MMS texts and emails. The customized images may also be utilized in conjunction with the stories, filters, and ephemeral messaging functionality discussed herein.



FIG. 4 is an exemplary flow diagram of a process according to various aspects of the disclosure. Although the flowchart may describe the operations as a sequential process, many of the operations can be performed in parallel or concurrently. In addition, the order of the operations may be re-arranged. A process is terminated when its operations are completed. A process may correspond to a method, a procedure, etc. The steps of method may be performed in whole or in part, may be performed in conjunction with some or all of the steps in other methods, and may be performed by any number of different systems, such as the systems described in FIG. 1 and/or FIG. 7.



FIG. 4 depicts an exemplary process 400 of generating customized avatars based on location information according to various aspects of the present disclosure. The process 400 may be performed by a processor included in the application server of the messaging server system or by a processor included in a client device.


At Block 401 of process in FIG. 4, the processor receives from a first client device a location information that includes a location of the first client device. The location information may be received from a location sensor included in the first client device. For example, the first client device may include a GPS unit that provides coordinates of the location of the first client device to the processor.


In FIG. 5A, an example of a map interface 500 that is displayed on the first client device is illustrated. The map interface 500 includes a first avatar 501 associated with the user of the first client device (“first user”), and a plurality of avatars 502_1 to 502_n (n>1) associated with users of other client devices that are connected to the first user on the messaging server system.


As used herein, an “avatar” of a user is any visual representation of user. The avatar of a user or individual may be any image resembling or otherwise associated with the user or individual. The avatar of a user may be based on characteristics derived from images of the user in conjunction with the avatar characteristics identified from the user's relationships with other users. Alternatively or additionally, the user may select and customize characteristics of the user's avatar via the user's computing device (i.e., customized avatar characteristics). Such customized avatar characteristics may include, for example, the user's bodily features (e.g., muscular, thin, etc.), facial features, clothing and accessories, text displayed in conjunction with the avatar, and images displayed in conjunction with the avatar. The avatar characteristics may be received or retrieved from a variety of sources, such as the local memory of a client device 102 as well as from other systems and devices, such as a database or server.


As shown in FIG. 5A, the first user's avatar 501 is illustrated at the location on the map interface 500 that corresponds to the current location of the first client device. The processor uses the location information received at Block 401 in FIG. 4 to determine the location of the map interface 500 at which to place the first user's avatar 501. Similarly, the avatars 502_1 to 502_n are illustrated on the map interface at locations corresponding to the locations of their client devices. In FIG. 5A, the avatars 502_2 to 502_4 are illustrated in a cluster of avatars which indicates that the users associated with avatars 502_2 to 502_4 are currently assembled at the location corresponding to the location on the map interface 500.


At Block 402, the processor causes a status interface 510 to be displayed on the first client device. In one embodiment, the first user may select the interface item 503 on the map interface 500 to request the status interface be displayed on the first client device. FIG. 5B illustrates an example of the status interface 510 displayed on the first client device. The status interface 510 includes a selectable personal location item 511 corresponding to a personalized location (e.g., work), selectable location items 512_1 to 512_m (m>1), and a plurality of selectable mood items 513_1 to 513_p (p>1) corresponding emotion updates. Each selectable personal location item 511, selectable location items 512_1 to 512_m and selectable mood items 513_1 to 513_p may also include a status message related to the selectable item.


The selectable location items correspond to locations that appear on the status interface 510 based on the location information that was received from the first client device. For example, the locations that appear on the status interface 510 are within a predetermined distance of the location of the first client device (e.g., 0 to 50 meters). In some embodiments, the locations that appear on the status interface 510 are based on the probability that the first user is at a given location that is within the predetermined distance. The processor may determine the probability based on, for example, the distance between a location and the location of the first client device, the visitation habits (e.g., previously stored locations associated with the first client device), the time of day, and the day of the week.


In FIG. 5B, the selectable personal location item 511 corresponding to a personalized location (e.g., work.). The first user may have previously provided the location details including the address of his workplace to generate the selectable personal location item 511. While the status interface illustrates a single selectable personal location item 511, the status interface may include a plurality of selectable personal location items (e.g., home, work, school, etc.). While not shown in FIG. 5B, the status interface 510 may also include a selectable item to create a personalized location. The personalized location may be a home location, a work location, and a school location. The personalized location may also be a location that is personal to the first user (e.g., secret hideout, third tree in the parking lot, favorite pizza by the slice, etc.). In this embodiment, the processor causes a personal location setting interface to be displayed on the first client device. The personal location setting interface includes interface elements to receive details of the personalized locations that include for example, a name for the location (e.g., secret hideout), an address associated with the location (e.g., address of the secret hideout), a type of location (e.g., restaurant or bar), or a location-based activity (e.g., first user likes to eat and drink at the secret hideout).


In FIG. 5B, the selectable mood items are associated with emotion updates that may be selected by the user to update his current mood or feelings. For example, the first user may select the mood item 513_3 (“Call me”) if he wants other users to contact him. Referring back to Block 403 in FIG. 4, the processor receives a selection from the first client device of the first selectable location item that is associated with a first location. In FIG. 5B, the first client selects the selectable location item 512_1 that is associated with a gym (e.g., “Equi Gym”).


At Block 404, the processor causes an avatar selection interface 520 to be displayed on the first client device. As shown in FIG. 5C, the avatar selection interface 520 that is displayed on the first client device includes a plurality of versions of the first avatar performing actions related to the first selectable location item (e.g., different activities related to working out at a gym). The different versions of the first avatar may be presented in a carrousel that may scrolled through via a touch screen or display of the first client device. In FIG. 5C, the avatar selection interface 520 is an expanded view of the first selectable location item that is caused to be displayed when the first user selects the first selectable location item on the first client device. In FIG. 5C, the selectable location items 512_1 to 512_n include status messages, respectively. For example, the selectable location item 512_1 includes the status message “I'm working out at Equi Gym”.


At Block 405, the processor receives a selection of a first selectable version of the first avatar. For example, in FIG. 5C, the first user selects the version of the first avatar that is lifting weights.


At Block 406, the processor generates a map interface that includes a map display based on the location information and the first selectable version of the first avatar 521. As shown in FIG. 5D, the map interface 500 is updated to include the version of the first avatar that is lifting weights 521 at the location corresponding to the gym (“Equi Gym”). In one embodiment, the map interface 500 also includes the first status message in association with the first selectable version of the first avatar. In FIG. 5D, the map interface 500 includes the status message 522 “I'm working out at Equi Gym” and the status message 522 is illustrated as a speech bubble associated with the first avatar 501.


In one embodiment, while the first user is at the gym, the processor causes the map interface 500 to include the version of the first avatar that is lifting weights 521 with his status message 522 at the location corresponding to the gym. When the processor determines that the location of the first client device does not correspond to the first location, the processor updates the map interface by replacing the first selectable version of the first avatar 521 with a default version of the first avatar 501. The default version of the first avatar 501 is included on the map interface 500 at a location on the map corresponding to the updated location of the first client device. In FIG. 5D, the identity card 523 associated with the first user displayed on the first client device. The identity card 523 includes an interface item 524 (“Remove Status”) that allows the first user to replace the first selectable version of the first avatar 521 with a default version of the first avatar 501 and remove the status message 522.


In FIG. 5D, the map interface 500 includes an interface item 525. When the first user activates the interface item 525, the camera that is included in the first client device is activated to allow the first user to capture media content items (e.g., picture, video, audio, etc.). FIG. 5E illustrates an interface 530 that includes a media content item captured using the camera on the first client device that is displayed on the first client device. In this embodiment, the processor receives a first media content item associated with the first status message 522 and causes a preview item of the first media content item to be displayed with the first status message. The preview item of the first media content item is illustrated in as preview 526 in FIG. 5F.


At Block 407, the processor causes the map interface to be displayed on at least one of the plurality of client devices including the first client device. In this embodiment, the processor causes other client devices associated with users that are connected to the first user on communication server system to display the map interface including the version of the first avatar that is lifting weights 521 with his status message 522 and preview 526 at the location corresponding to the gym. In one embodiment, the map interface displayed on a second client device that is associated with a second user who is connected on the communication server system to the first user is different from the map interface displayed on the first client device. Specifically, the second user's map interface includes avatars that are connected to the second user on the communication server system as well as personalized locations that are set by the second user.



FIG. 5F is an example of a map interface zoomed in on the first avatar that is displayed on a second user's interface. In response to selecting the first avatar displayed on the second client device, an identity card 527 associated with the first user is displayed on the second client device and the interface item 528 may be selected to request a communication session between the first and second users.


In one embodiment, the processor receives from a second client device location information that includes the location of the second client device. Similar to the first client device, the second client device may include a GPS that provides the coordinates of the location of the second client device to the processor.


The processor may then determine whether the location of the second client device is within a threshold distance from the location of the first client device. For example, the threshold distance may be the size of the location (e.g., the gym) corresponding to the location of the first client device or may be a set distance (e.g., 50 meters) from the first client device. If the processor determines that the location of the second client device is within a threshold distance from the location of the first client device, the processor updates the map interface by replacing the first selectable version of the first avatar with an image of the first avatar and a second avatar at a location on the map display corresponding to the location of the first client device. In this example, the second avatar is associated with a second user of the second client device.


In one embodiment, the processor receives a media content item (e.g., picture, video, text, audio, etc.) that includes a location from the first client device. For example, the first user may have applied a filter or a lens on the media content item that linked to a geographic location. In this embodiment, the processor updates the map interface 500 to include a version of the first avatar that is related the geographic location at the corresponding location on the map. The processor may also update the status message associated with the first avatar to reflect the geographic location or an activity related to the geographic location. In this embodiment, the processor performs the updates to the map interface without the receiving the inputs from the first client device (e.g., selecting the location, selecting the version of the first avatar, etc.). In one embodiment, the processor stores the locations on the map interface that are associated with the first user in a storage.


Software Architecture



FIG. 6 is a block diagram illustrating an example software architecture 606, which may be used in conjunction with various hardware architectures herein described. FIG. 6 is a non-limiting example of a software architecture and it will be appreciated that many other architectures may be implemented to facilitate the functionality described herein. The software architecture 606 may execute on hardware such as machine 700 of FIG. 7 that includes, among other things, processors 704, memory 714, and I/O components 718. A representative hardware layer 652 is illustrated and can represent, for example, the machine 700 of FIG. 7. The representative hardware layer 652 includes a processing unit 654 having associated executable instructions 604. Executable instructions 604 represent the executable instructions of the software architecture 606, including implementation of the methods, components and so forth described herein. The hardware layer 652 also includes memory and/or storage modules memory/storage 656, which also have executable instructions 604. The hardware layer 652 may also comprise other hardware 658.


As used herein, the term “component” may refer to a device, physical entity or logic having boundaries defined by function or subroutine calls, branch points, application program interfaces (APIs), and/or other technologies that provide for the partitioning or modularization of particular processing or control functions. Components may be combined via their interfaces with other components to carry out a machine process. A component may be a packaged functional hardware unit designed for use with other components and a part of a program that usually performs a particular function of related functions.


Components may constitute either software components (e.g., code embodied on a machine-readable medium) or hardware components. A “hardware component” is a tangible unit capable of performing certain operations and may be configured or arranged in a certain physical manner. In various exemplary embodiments, one or more computer systems (e.g., a standalone computer system, a client computer system, or a server computer system) or one or more hardware components of a computer system (e.g., a processor or a group of processors) may be configured by software (e.g., an application or application portion) as a hardware component that operates to perform certain operations as described herein. A hardware component may also be implemented mechanically, electronically, or any suitable combination thereof. For example, a hardware component may include dedicated circuitry or logic that is permanently configured to perform certain operations.


A hardware component may be a special-purpose processor, such as a Field-Programmable Gate Array (FPGA) or an Application Specific Integrated Circuit (ASIC). A hardware component may also include programmable logic or circuitry that is temporarily configured by software to perform certain operations. For example, a hardware component may include software executed by a general-purpose processor or other programmable processor. Once configured by such software, hardware components become specific machines (or specific components of a machine) uniquely tailored to perform the configured functions and are no longer general-purpose processors. It will be appreciated that the decision to implement a hardware component mechanically, in dedicated and permanently configured circuitry, or in temporarily configured circuitry (e.g., configured by software) may be driven by cost and time considerations.


A processor may be, or in include, any circuit or virtual circuit (a physical circuit emulated by logic executing on an actual processor) that manipulates data values according to control signals (e.g., “commands”, “op codes”, “machine code”, etc.) and which produces corresponding output signals that are applied to operate a machine. A processor may, for example, be a Central Processing Unit (CPU), a Reduced Instruction Set Computing (RISC) processor, a Complex Instruction Set Computing (CISC) processor, a Graphics Processing Unit (GPU), a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Radio-Frequency Integrated Circuit (RFIC) or any combination thereof. A processor may further be a multi-core processor having two or more independent processors (sometimes referred to as “cores”) that may execute instructions contemporaneously.


Accordingly, the phrase “hardware component” (or “hardware-implemented component”) should be understood to encompass a tangible entity, be that an entity that is physically constructed, permanently configured (e.g., hardwired), or temporarily configured (e.g., programmed) to operate in a certain manner or to perform certain operations described herein. Considering embodiments in which hardware components are temporarily configured (e.g., programmed), each of the hardware components need not be configured or instantiated at any one instance in time. For example, where a hardware component comprises a general-purpose processor configured by software to become a special-purpose processor, the general-purpose processor may be configured as respectively different special-purpose processors (e.g., comprising different hardware components) at different times. Software accordingly configures a particular processor or processors, for example, to constitute a particular hardware component at one instance of time and to constitute a different hardware component at a different instance of time. Hardware components can provide information to, and receive information from, other hardware components. Accordingly, the described hardware components may be regarded as being communicatively coupled. Where multiple hardware components exist contemporaneously, communications may be achieved through signal transmission (e.g., over appropriate circuits and buses) between or among two or more of the hardware components. In embodiments in which multiple hardware components are configured or instantiated at different times, communications between such hardware components may be achieved, for example, through the storage and retrieval of information in memory structures to which the multiple hardware components have access.


For example, one hardware component may perform an operation and store the output of that operation in a memory device to which it is communicatively coupled. A further hardware component may then, at a later time, access the memory device to retrieve and process the stored output. Hardware components may also initiate communications with input or output devices, and can operate on a resource (e.g., a collection of information). The various operations of example methods described herein may be performed, at least partially, by one or more processors that are temporarily configured (e.g., by software) or permanently configured to perform the relevant operations. Whether temporarily or permanently configured, such processors may constitute processor-implemented components that operate to perform one or more operations or functions described herein. As used herein, “processor-implemented component” refers to a hardware component implemented using one or more processors. Similarly, the methods described herein may be at least partially processor-implemented, with a particular processor or processors being an example of hardware. For example, at least some of the operations of a method may be performed by one or more processors or processor-implemented components.


Moreover, the one or more processors may also operate to support performance of the relevant operations in a “cloud computing” environment or as a “software as a service” (SaaS). For example, at least some of the operations may be performed by a group of computers (as examples of machines including processors), with these operations being accessible via a network (e.g., the Internet) and via one or more appropriate interfaces (e.g., an Application Program Interface (API)). The performance of certain of the operations may be distributed among the processors, not only residing within a single machine, but deployed across a number of machines. In some exemplary embodiments, the processors or processor-implemented components may be located in a single geographic location (e.g., within a home environment, an office environment, or a server farm). In other exemplary embodiments, the processors or processor-implemented components may be distributed across a number of geographic locations.


In the exemplary architecture of FIG. 6, the software architecture 606 may be conceptualized as a stack of layers where each layer provides particular functionality. For example, the software architecture 606 may include layers such as an operating system 602, libraries 620, applications 616 and a presentation layer 614. Operationally, the applications 616 and/or other components within the layers may invoke application programming interface (API) API calls 608 through the software stack and receive messages 612 in response to the API calls 608. The layers illustrated are representative in nature and not all software architectures have all layers. For example, some mobile or special purpose operating systems may not provide a frameworks/middleware 618, while others may provide such a layer. Other software architectures may include additional or different layers.


The operating system 602 may manage hardware resources and provide common services. The operating system 602 may include, for example, a kernel 622, services 624 and drivers 626. The kernel 622 may act as an abstraction layer between the hardware and the other software layers. For example, the kernel 622 may be responsible for memory management, processor management (e.g., scheduling), component management, networking, security settings, and so on. The services 624 may provide other common services for the other software layers. The drivers 626 are responsible for controlling or interfacing with the underlying hardware. For instance, the drivers 626 include display drivers, camera drivers, Bluetooth® drivers, flash memory drivers, serial communication drivers (e.g., Universal Serial Bus (USB) drivers). Wi-Fi® drivers, audio drivers, power management drivers, and so forth depending on the hardware configuration.


The libraries 620 provide a common infrastructure that is used by the applications 616 and/or other components and/or layers. The libraries 620 provide functionality that allows other software components to perform tasks in an easier fashion than to interface directly with the underlying operating system 602 functionality (e.g., kernel 622, services 624 and/or drivers 626). The libraries 620 may include system libraries 644 (e.g., C standard library) that may provide functions such as memory allocation functions, string manipulation functions, mathematical functions, and the like. In addition, the libraries 620 may include API libraries 646 such as media libraries (e.g., libraries to support presentation and manipulation of various media format such as MPREG4, H.264, MP3, AAC, AMR, JPG, PNG), graphics libraries (e.g., an OpenGL framework that may be used to render 2D and 3D in a graphic content on a display), database libraries (e.g., SQLite that may provide various relational database functions), web libraries (e.g., WebKit that may provide web browsing functionality), and the like. The libraries 620 may also include a wide variety of other libraries 648 to provide many other APIs to the applications 616 and other software components/modules.


The frameworks/middleware 618 (also sometimes referred to as middleware) provide a higher-level common infrastructure that may be used by the applications 616 and/or other software components/modules. For example, the frameworks/middleware 618 may provide various graphic user interface (GUI) functions, high-level resource management, high-level location services, and so forth. The frameworks/middleware 618 may provide a broad spectrum of other APIs that may be utilized by the applications 616 and/or other software components/modules, some of which may be specific to a particular operating system 602 or platform.


The applications 616 include built-in applications 638 and/or third-party applications 640. Examples of representative built-in applications 638 may include, but are not limited to, a contacts application, a browser application, a book reader application, a location application, a media application, a messaging application, and/or a game application. Third-party applications 640 may include an application developed using the ANDROID™ or IOS™ software development kit (SDK) by an entity other than the vendor of the particular platform, and may be mobile software running on a mobile operating system such as IOS™, ANDROID™, WINDOWS® Phone, or other mobile operating systems. The third-party applications 640 may invoke the API calls 608 provided by the mobile operating system (such as operating system 602) to facilitate functionality described herein.


The applications 616 may use built in operating system functions (e.g., kernel 622, services 624 and/or drivers 626), libraries 620, and frameworks/middleware 618 to create user interfaces to interact with users of the system. Alternatively, or additionally, in some systems interactions with a user may occur through a presentation layer, such as presentation layer 614. In these systems, the application/component “logic” can be separated from the aspects of the application/component that interact with a user.



FIG. 7 is a block diagram illustrating components (also referred to herein as “modules”) of a machine 700, according to some exemplary embodiments, able to read instructions from a machine-readable medium (e.g., a machine-readable storage medium) and perform any one or more of the methodologies discussed herein. Specifically, FIG. 7 shows a diagrammatic representation of the machine 700 in the example form of a computer system, within which instructions 710 (e.g., software, a program, an application, an applet, an app, or other executable code) for causing the machine 700 to perform any one or more of the methodologies discussed herein may be executed. As such, the instructions 710 may be used to implement modules or components described herein. The instructions 710 transform the general, non-programmed machine 700 into a particular machine 700 programmed to carry out the described and illustrated functions in the manner described. In alternative embodiments, the machine 700 operates as a standalone device or may be coupled (e.g., networked) to other machines. In a networked deployment, the machine 700 may operate in the capacity of a server machine or a client machine in a server-client network environment, or as a peer machine in a peer-to-peer (or distributed) network environment. The machine 700 may comprise, but not be limited to, a server computer, a client computer, a personal computer (PC), a tablet computer, a laptop computer, a netbook, a set-top box (STB), a personal digital assistant (PDA), an entertainment media system, a cellular telephone, a smart phone, a mobile device, a wearable device (e.g., a smart watch), a smart home device (e.g., a smart appliance), other smart devices, a web appliance, a network router, a network switch, a network bridge, or any machine capable of executing the instructions 710, sequentially or otherwise, that specify actions to be taken by machine 700. Further, while only a single machine 700 is illustrated, the term “machine” shall also be taken to include a collection of machines that individually or jointly execute the instructions 710 to perform any one or more of the methodologies discussed herein.


The machine 700 may include processors 704, memory memory/storage 706, and I/O components 718, which may be configured to communicate with each other such as via a bus 702. The memory/storage 706 may include a memory 714, such as a main memory, or other memory storage, and a storage unit 716, both accessible to the processors 704 such as via the bus 702. The storage unit 716 and memory 714 store the instructions 710 embodying any one or more of the methodologies or functions described herein. The instructions 710 may also reside, completely or partially, within the memory 714, within the storage unit 716, within at least one of the processors 704 (e.g., within the processor's cache memory), or any suitable combination thereof, during execution thereof by the machine 700. Accordingly, the memory 714, the storage unit 716, and the memory of processors 704 are examples of machine-readable media.


As used herein, the term “machine-readable medium.” “computer-readable medium,” or the like may refer to any component, device or other tangible media able to store instructions and data temporarily or permanently. Examples of such media may include, but is not limited to, random-access memory (RAM), read-only memory (ROM), buffer memory, flash memory, optical media, magnetic media, cache memory, other types of storage (e.g., Erasable Programmable Read-Only Memory (EEPROM)) and/or any suitable combination thereof. The term “machine-readable medium” should be taken to include a single medium or multiple media (e.g., a centralized or distributed database, or associated caches and servers) able to store instructions. The term “machine-readable medium” may also be taken to include any medium, or combination of multiple media, that is capable of storing instructions (e.g., code) for execution by a machine, such that the instructions, when executed by one or more processors of the machine, cause the machine to perform any one or more of the methodologies described herein. Accordingly, a “machine-readable medium” may refer to a single storage apparatus or device, as well as “cloud-based” storage systems or storage networks that include multiple storage apparatus or devices. The term “machine-readable medium” excludes signals per se.


The I/O components 718 may include a wide variety of components to provide a user interface for receiving input, providing output, producing output, transmitting information, exchanging information, capturing measurements, and so on. The specific I/O components 718 that are included in the user interface of a particular machine 700 will depend on the type of machine. For example, portable machines such as mobile phones will likely include a touch input device or other such input mechanisms, while a headless server machine will likely not include such a touch input device. It will be appreciated that the I/O components 718 may include many other components that are not shown in FIG. 7. The I/O components 718 are grouped according to functionality merely for simplifying the following discussion and the grouping is in no way limiting. In various exemplary embodiments, the I/O components 718 may include output components 726 and input components 728. The output components 726 may include visual components (e.g., a display such as a plasma display panel (PDP), a light emitting diode (LED) display, a liquid crystal display (LCD), a projector, or a cathode ray tube (CRT)), acoustic components (e.g., speakers), haptic components (e.g., a vibratory motor, resistance mechanisms), other signal generators, and so forth. The input components 728 may include alphanumeric input components (e.g., a keyboard, a touch screen configured to receive alphanumeric input, a photo-optical keyboard, or other alphanumeric input components), point based input components (e.g., a mouse, a touchpad, a trackball, a joystick, a motion sensor, or other pointing instrument), tactile input components (e.g., a physical button, a touch screen that provides location and/or force of touches or touch gestures, or other tactile input components), audio input components (e.g., a microphone), and the like. The input components 728 may also include one or more image-capturing devices, such as a digital camera for generating digital images and/or video.


In further exemplary embodiments, the I/O components 718 may include biometric components 730, motion components 734, environmental environment components 736, or position components 738, as well as a wide array of other components. One or more of such components (or portions thereof) may collectively be referred to herein as a “sensor component” or “sensor” for collecting various data related to the machine 700, the environment of the machine 700, a user of the machine 700, or a combination thereof.


For example, the biometric components 730 may include components to detect expressions (e.g., hand expressions, facial expressions, vocal expressions, body gestures, or eye tracking), measure biosignals (e.g., blood pressure, heart rate, body temperature, perspiration, or brain waves), identify a person (e.g., voice identification, retinal identification, facial identification, fingerprint identification, or electroencephalogram based identification), and the like. The motion components 734 may include acceleration sensor components (e.g., accelerometer), gravitation sensor components, rotation sensor components (e.g., gyroscope), and so forth. The environment components 736 may include, for example, illumination sensor components (e.g., photometer), temperature sensor components (e.g., one or more thermometer that detect ambient temperature), humidity sensor components, pressure sensor components (e.g., barometer), acoustic sensor components (e.g., one or more microphones that detect background noise), proximity sensor components (e.g., infrared sensors that detect nearby objects), gas sensors (e.g., gas detection sensors to detection concentrations of hazardous gases for safety or to measure pollutants in the atmosphere), or other components that may provide indications, measurements, or signals corresponding to a surrounding physical environment. The position components 738 may include location sensor components (e.g., a Global Position system (GPS) receiver component), altitude sensor components (e.g., altimeters or barometers that detect air pressure from which altitude may be derived), orientation sensor components (e.g., magnetometers), and the like. For example, the location sensor component may provide location information associated with the system 700, such as the system's 700 GPS coordinates and/or information regarding a location the system 700 is at currently (e.g., the name of a restaurant or other business).


Communication may be implemented using a wide variety of technologies. The I/O components 718 may include communication components 740 operable to couple the machine 700 to a network 732 or devices 720 via coupling 722 and coupling 724 respectively. For example, the communication components 740 may include a network interface component or other suitable device to interface with the network 732. In further examples, communication components 740 may include wired communication components, wireless communication components, cellular communication components, Near Field Communication (NFC) components, Bluetooth® components (e.g., Bluetooth® Low Energy). Wi-Fi® components, and other communication components to provide communication via other modalities. The devices 720 may be another machine or any of a wide variety of peripheral devices (e.g., a peripheral device coupled via a Universal Serial Bus (USB)).


Moreover, the communication components 740 may detect identifiers or include components operable to detect identifiers. For example, the communication components 740 may include Radio Frequency Identification (RFID) tag reader components, NFC smart tag detection components, optical reader components (e.g., an optical sensor to detect one-dimensional bar codes such as Universal Product Code (UPC) bar code, multi-dimensional bar codes such as Quick Response (QR) code, Aztec code. Data Matrix, Dataglyph, MaxiCode, PDF417, Ultra Code. UCC RSS-2D bar code, and other optical codes), or acoustic detection components (e.g., microphones to identify tagged audio signals). In addition, a variety of information may be derived via the communication components 740, such as, location via Internet Protocol (IP) geo-location, location via Wi-Fi® signal triangulation, location via detecting an NFC beacon signal that may indicate a particular location, and so forth.


Where a phrase similar to “at least one of A, B. or C.” “at least one of A. B. and C,” “one or more A. B. or C.” or “one or more of A. B. and C” is used, it is intended that the phrase be interpreted to mean that A alone may be present in an embodiment, B alone may be present in an embodiment, C alone may be present in an embodiment, or that any combination of the elements A, B and C may be present in a single embodiment: for example, A and B, A and C. B and C. or A and B and C.


Changes and modifications may be made to the disclosed embodiments without departing from the scope of the present disclosure. These and other changes or modifications are intended to be included within the scope of the present disclosure, as expressed in the following claims.

Claims
  • 1. A system comprising: a messaging server system including:an application server to:receive from a first client device a location information from a location sensor coupled to the first client device, the location information includes a location of the first client device;cause a status interface to be displayed on the first client device, wherein the status interface simultaneously displays a plurality of selectable location items respectively corresponding to a plurality of locations based on the location information, wherein a first selectable location item of the plurality of selectable items corresponds to a first location of the plurality of locations;receive a selection from the first client device of the first selectable location item;cause an avatar selection interface to be displayed on the first client device, wherein the avatar selection interface includes a plurality of versions of a first avatar performing actions related to the first selectable location item, wherein the first avatar is associated with a first user of the first client device;receive a selection of a first selectable version of the first avatar of the plurality of selectable versions;generate a map interface that includes a map display based on the location information and the first selectable version of the first avatar displayed at a corresponding location on the map display associated with the location information; andcause the map interface to be displayed on a plurality of client devices including the first client device.
  • 2. The system of claim 1, wherein the plurality of selectable location items includes a plurality of status messages, respectively, wherein the first selectable location item includes a first status message,wherein the map interface includes the first status message in association with the first selectable version of the first avatar.
  • 3. The system of claim 2, wherein the application server further to: receive a first media content item associated with the first status message; andcause a preview item of the first media content item to be displayed with the first status message.
  • 4. The system of claim 1, wherein the plurality of locations are within a predetermined distance of the location of the first client device.
  • 5. The system of claim 1, wherein the map interface includes the first selectable version of the first avatar at a location on the map display corresponding to the first location.
  • 6. The system of claim 5, wherein the application server further to: determine that the location of the first client device does not correspond to the first location; andupdate the map interface by replacing the first selectable version of the first avatar with a default version of the first avatar at a location on the map display corresponding to the location of the first client device.
  • 7. The system of claim 1, wherein the status interface includes a plurality of selectable personal location items corresponding to personalized locations and a plurality of selectable mood items corresponding emotion updates.
  • 8. The system of claim 7, wherein the application server further to: cause a personal location setting interface to be displayed on the first client device, wherein the personal location setting interface includes interface elements to receive details of the personalized locations,wherein details of the personalized locations include at least one of: a name, an address, a type of location, or a location-based activity.
  • 9. The system of claim 8, wherein the application server further to: receive from the first client device a home address, a work address, or a school address via the personal location setting interface, wherein the personalized locations include a home location, a work location, and a school location.
  • 10. The system of claim 1, wherein the application server further to: receive from a second client device a location information including a location of the second client device;determine that the location of the second client device is within a threshold distance from the location of the first client device;update the map interface by replacing the first selectable version of the first avatar with an image of the first avatar and a second avatar at a location on the map display corresponding to the location of the first client device, wherein the second avatar is associated with a second user of the second client device.
  • 11. A method comprising: receiving, by a processor, from a first client device a location information from a location sensor coupled to the first client device, the location information includes a location of the first client device;causing a status interface to be displayed on the first client device, wherein the status interface simultaneously displays a plurality of selectable location items corresponding to a plurality of locations based on the location information, wherein a first selectable location item of the plurality of selectable items corresponds to a first location of the plurality of locations;receiving a selection from the first client device of the first selectable location item;causing an avatar selection interface to be displayed on the first client device, wherein the avatar selection interface includes a plurality of versions of a first avatar performing actions related to the first selectable location item, wherein the first avatar is associated with a first user of the first client device;receiving a selection of a first selectable version of the first avatar of the plurality of selectable versions;generating a map interface that includes a map display based on the location information and the first selectable version of the first avatar displayed at a corresponding location on the map display associated with the location information; andcausing the map interface to be displayed on a plurality of client devices including the first client device.
  • 12. The method of claim 11, wherein the plurality of selectable location items includes a plurality of status messages, respectively, wherein the first selectable location item includes a first status message,wherein the map interface includes the first status message in association with the first selectable version of the first avatar.
  • 13. The method of claim 12, further comprising: receiving a first media content item associated with the first status message; andcausing a preview item of the first media content item to be displayed with the first status message.
  • 14. The method of claim 11, wherein the map interface includes the first selectable version of the first avatar at a location on the map display corresponding to the first location.
  • 15. The method of claim 14, further comprising: determining that the location of the first client device does not correspond to the first location; andupdating the map interface by replacing the first selectable version of the first avatar with a default version of the first avatar at a location on the map display corresponding to the location of the first client device.
  • 16. The method of claim 11, wherein the status interface includes a plurality of selectable personal location items corresponding to personalized locations and a plurality of selectable mood items corresponding emotion updates.
  • 17. The method of claim 16, further comprising: causing a personal location setting interface to be displayed on the first client device, wherein the personal location setting interface includes interface elements to receive details of the personalized locations,wherein details of the personalized locations include at least one of:
  • 18. The method of claim 17, further comprising: receiving from the first client device a home address, a work address, or a school address via the personal location setting interface, wherein the personalized locations include a home location, a work location, and a school location.
  • 19. The method of claim 11, further comprising: receiving from a second client device a location information including a location of the second client device;determine that the location of the second client device is within a threshold distance from the location of the first client device;updating the map interface by replacing the first selectable version of the first avatar with an image of the first avatar and a second avatar at a location on the map display corresponding to the location of the first client device, wherein the second avatar is associated with a second user of the second client device.
  • 20. A non-transitory computer-readable storage medium having stored thereon, instructions when executed by a processor, causes the processor to perform a method comprising: receiving from a first client device a location information from a location sensor coupled to the first client device, the location information includes a location of the first client device;causing a status interface to be displayed on the first client device, wherein the status interface simultaneously displays a plurality of selectable location items corresponding to a plurality of locations based on the location information, wherein a first selectable location item of the plurality of selectable items corresponds to a first location of the plurality of locations;receiving a selection from the first client device of the first selectable location item;causing an avatar selection interface to be displayed on the first client device, wherein the avatar selection interface includes a plurality of versions of a first avatar performing actions related to the first selectable location item, wherein the first avatar is associated with a first user of the first client device;receiving a selection of a first selectable version of the first avatar of the plurality of selectable versions;generating a map interface that includes a map display based on the location information and the first selectable version of the first avatar displayed at a corresponding location on the map display associated with the location information; andcausing the map interface to be displayed on a plurality of client devices including the first client device.
CROSS REFERENCED TO RELATED APPLICATIONS

This claims priority to U.S. Provisional Patent Application Ser. No. 62/773,922, filed Nov. 30, 2018, the contents of which are incorporated herein by reference in their entirety.

US Referenced Citations (775)
Number Name Date Kind
666223 Shedlock Jan 1901 A
4581634 Williams Apr 1986 A
4975690 Torres Dec 1990 A
5072412 Henderson, Jr. et al. Dec 1991 A
5493692 Theimer et al. Feb 1996 A
5713073 Warsta Jan 1998 A
5754939 Herz et al. May 1998 A
5855008 Goldhaber et al. Dec 1998 A
5880731 Liles et al. Mar 1999 A
5883639 Walton et al. Mar 1999 A
5999932 Paul Dec 1999 A
6012098 Bayeh et al. Jan 2000 A
6014090 Rosen et al. Jan 2000 A
6023270 Brush, II et al. Feb 2000 A
6029141 Bezos et al. Feb 2000 A
6038295 Mattes Mar 2000 A
6049711 Yehezkei et al. Apr 2000 A
6154764 Nitta Nov 2000 A
6167435 Druckenmiller et al. Dec 2000 A
6204840 Petelycky et al. Mar 2001 B1
6205432 Gabbard et al. Mar 2001 B1
6216141 Straub et al. Apr 2001 B1
6223165 Lauffer Apr 2001 B1
6285381 Sawano et al. Sep 2001 B1
6285987 Roth et al. Sep 2001 B1
6310694 Okimoto et al. Oct 2001 B1
6317789 Rakavy et al. Nov 2001 B1
6334149 Davis, Jr. et al. Dec 2001 B1
6349203 Asaoka et al. Feb 2002 B1
6353170 Eyzaguirre et al. Mar 2002 B1
6446004 Cao et al. Sep 2002 B1
6449657 Stanbach Sep 2002 B2
6456852 Bar Sep 2002 B2
6484196 Maurille Nov 2002 B1
6487601 Hubacher et al. Nov 2002 B1
6493001 Takagi Dec 2002 B1
6523008 Avrunin Feb 2003 B1
6542749 Tanaka et al. Apr 2003 B2
6549768 Fraccaroli Apr 2003 B1
6618593 Drutman et al. Sep 2003 B1
6622174 Ukita et al. Sep 2003 B1
6631463 Floyd et al. Oct 2003 B1
6636247 Hamzy et al. Oct 2003 B1
6636855 Holloway et al. Oct 2003 B2
6643684 Malkin et al. Nov 2003 B1
6658095 Yoakum et al. Dec 2003 B1
6665531 Soderbacka et al. Dec 2003 B1
6668173 Greene Dec 2003 B2
6684238 Dutta Jan 2004 B1
6684257 Camut et al. Jan 2004 B1
6698020 Zigmond et al. Feb 2004 B1
6700506 Winkler Mar 2004 B1
6720860 Narayanaswami Apr 2004 B1
6724403 Santoro et al. Apr 2004 B1
6757713 Ogilvie et al. Jun 2004 B1
6772195 Hatlelid et al. Aug 2004 B1
6832222 Zimowski Dec 2004 B1
6834195 Brandenberg et al. Dec 2004 B2
6836792 Chen Dec 2004 B1
6842779 Nishizawa Jan 2005 B1
6898626 Ohashi May 2005 B2
6959324 Kubik et al. Oct 2005 B1
6970088 Kovach Nov 2005 B2
6970907 Ullmann et al. Nov 2005 B1
6980909 Root et al. Dec 2005 B2
6981040 Konig et al. Dec 2005 B1
7020494 Spriestersbach et al. Mar 2006 B2
7027124 Foote et al. Apr 2006 B2
7072963 Anderson et al. Jul 2006 B2
7085571 Kalhan et al. Aug 2006 B2
7110744 Freeny, Jr. Sep 2006 B2
7124164 Chemtob Oct 2006 B1
7149893 Leonard et al. Dec 2006 B1
7173651 Knowles Feb 2007 B1
7188143 Szeto Mar 2007 B2
7203380 Chiu et al. Apr 2007 B2
7206568 Sudit Apr 2007 B2
7227937 Yoakum et al. Jun 2007 B1
7237002 Estrada et al. Jun 2007 B1
7240089 Boudreau Jul 2007 B2
7269426 Kokkonen et al. Sep 2007 B2
7280658 Amini et al. Oct 2007 B2
7315823 Brondrup Jan 2008 B2
7342587 Danzig et al. Mar 2008 B2
7349768 Bruce et al. Mar 2008 B2
7356564 Hartselle et al. Apr 2008 B2
7394345 Ehlinger et al. Jul 2008 B1
7411493 Smith Aug 2008 B2
7423580 Markhovsky et al. Sep 2008 B2
7454442 Cobleigh et al. Nov 2008 B2
7468729 Levinson Dec 2008 B1
7508419 Toyama et al. Mar 2009 B2
7519870 Hagale et al. Apr 2009 B1
7535890 Rojas May 2009 B2
7546554 Chiu et al. Jun 2009 B2
7607096 Oreizy et al. Oct 2009 B2
7636755 Blattner et al. Dec 2009 B2
7639251 Gu et al. Dec 2009 B2
7639943 Kalajan Dec 2009 B1
7650231 Gadler Jan 2010 B2
7668537 DeVries Feb 2010 B2
7770137 Forbes et al. Aug 2010 B2
7775885 Van Luchene et al. Aug 2010 B2
7778973 Choi Aug 2010 B2
7779444 Glad Aug 2010 B2
7787886 Markhovsky et al. Aug 2010 B2
7796946 Eisenbach Sep 2010 B2
7801954 Cadiz et al. Sep 2010 B2
7856360 Kramer et al. Dec 2010 B2
7859551 Bulman et al. Dec 2010 B2
7885931 Seo et al. Feb 2011 B2
7925703 Dinan et al. Apr 2011 B2
8061204 Burtner et al. Aug 2011 B2
8032586 Challenger et al. Oct 2011 B2
8082255 Carlson, Jr. et al. Dec 2011 B1
8088044 Tchao et al. Jan 2012 B2
8090351 Klein Jan 2012 B2
8095878 Bates et al. Jan 2012 B2
8098904 Ioffe et al. Jan 2012 B2
8099109 Altman et al. Jan 2012 B2
8108774 Finn et al. Jan 2012 B2
8112716 Kobayashi Feb 2012 B2
8117281 Robinson et al. Feb 2012 B2
8130219 Fleury et al. Mar 2012 B2
8131597 Hudetz Mar 2012 B2
8135166 Rhoads Mar 2012 B2
8136028 Loeb et al. Mar 2012 B1
8146001 Reese Mar 2012 B1
8146005 Jones et al. Mar 2012 B2
8151191 Nicol Apr 2012 B2
8161115 Yamamoto Apr 2012 B2
8161417 Lee Apr 2012 B1
8195203 Tseng Jun 2012 B1
8199747 Rojas et al. Jun 2012 B2
8208943 Petersen Jun 2012 B2
8214443 Hamburg Jul 2012 B2
8234350 Gu et al. Jul 2012 B1
8276092 Narayanan et al. Sep 2012 B1
8279319 Date Oct 2012 B2
8280406 Ziskind et al. Oct 2012 B2
8285199 Hsu et al. Oct 2012 B2
8287380 Nguyen et al. Oct 2012 B2
8301159 Hamynen et al. Oct 2012 B2
8306922 Kunal et al. Nov 2012 B1
8312086 Velusamy et al. Nov 2012 B2
8312097 Siegel et al. Nov 2012 B1
8326315 Phillips et al. Dec 2012 B2
8326327 Hymel et al. Dec 2012 B2
8332475 Rosen et al. Dec 2012 B2
8352546 Dollard Jan 2013 B1
8379130 Forutanpour et al. Feb 2013 B2
8384719 Reville et al. Feb 2013 B2
8385950 Wagner et al. Feb 2013 B1
RE44054 Kim Mar 2013 E
8396708 Park et al. Mar 2013 B2
8402097 Szeto Mar 2013 B2
8405773 Hayashi et al. Mar 2013 B2
8418067 Cheng Apr 2013 B2
8423409 Rao Apr 2013 B2
8425322 Gillo et al. Apr 2013 B2
8458601 Castelli et al. Jun 2013 B2
8462198 Lin et al. Jun 2013 B2
8471914 Sakiyama et al. Jun 2013 B2
8472935 Fujisaki Jun 2013 B1
8484158 Deluca et al. Jul 2013 B2
8495503 Brown et al. Jul 2013 B2
8495505 Smith et al. Jul 2013 B2
8504926 Wolf Aug 2013 B2
8510383 Hurley et al. Aug 2013 B2
8527345 Rothschild et al. Sep 2013 B2
8554627 Svendsen et al. Oct 2013 B2
8559980 Pujol Oct 2013 B2
8560612 Kilmer et al. Oct 2013 B2
8564621 Branson et al. Oct 2013 B2
8564710 Nonaka et al. Oct 2013 B2
8581911 Becker et al. Nov 2013 B2
8583079 Chawla Nov 2013 B2
8594680 Ledlie et al. Nov 2013 B2
8597121 del Valle Dec 2013 B2
8601051 Wang Dec 2013 B2
8601379 Marks et al. Dec 2013 B2
8613089 Holloway et al. Dec 2013 B1
8632408 Gillo et al. Jan 2014 B2
8648865 Dawson et al. Feb 2014 B2
8659548 Hildreth Feb 2014 B2
8660358 Bergboer et al. Feb 2014 B1
8660369 Llano et al. Feb 2014 B2
8660793 Ngo et al. Feb 2014 B2
8682350 Altman et al. Mar 2014 B2
8683354 Khandelwal et al. Mar 2014 B2
8692830 Nelson et al. Apr 2014 B2
8700012 Ferren Apr 2014 B2
8718333 Wolf et al. May 2014 B2
8724622 Rojas May 2014 B2
8732168 Johnson May 2014 B2
8744523 Fan et al. Jun 2014 B2
8745132 Obradovich Jun 2014 B2
8756501 Karam Jun 2014 B1
8761800 Kuwahara Jun 2014 B2
8768876 Shim et al. Jul 2014 B2
8775972 Spiegel Jul 2014 B2
8788680 Naik Jul 2014 B1
8790187 Walker et al. Jul 2014 B2
8797415 Arnold Aug 2014 B2
8798646 Wang et al. Aug 2014 B1
8810513 Ptucha et al. Aug 2014 B2
8812171 Filev et al. Aug 2014 B2
8832201 Wall Sep 2014 B2
8832552 Arrasvuori et al. Sep 2014 B2
8839327 Amento et al. Sep 2014 B2
8856349 Jain et al. Oct 2014 B2
8874677 Rosen et al. Oct 2014 B2
8886227 Schmidt et al. Nov 2014 B2
8890926 Tandon et al. Nov 2014 B2
8892999 Nims et al. Nov 2014 B2
8909679 Root et al. Dec 2014 B2
8909725 Sehn Dec 2014 B1
8924250 Bates et al. Dec 2014 B2
8963926 Brown et al. Feb 2015 B2
8972357 Shim et al. Mar 2015 B2
8989786 Feghali Mar 2015 B2
8995433 Rojas Mar 2015 B2
9015285 Ebsen et al. Apr 2015 B1
9020745 Johnston et al. Apr 2015 B2
9040574 Wang et al. May 2015 B2
9055416 Rosen et al. Jun 2015 B2
9086776 Ye et al. Jul 2015 B2
9094137 Sehn et al. Jul 2015 B1
9100806 Rosen et al. Aug 2015 B2
9100807 Rosen et al. Aug 2015 B2
9105014 Collet et al. Aug 2015 B2
9113301 Spiegel et al. Aug 2015 B1
9119027 Sharon et al. Aug 2015 B2
9123074 Jacobs et al. Sep 2015 B2
9143382 Bhogal et al. Sep 2015 B2
9143681 Ebsen et al. Sep 2015 B1
9152477 Campbell et al. Oct 2015 B1
9191776 Root et al. Nov 2015 B2
9201952 Chau Dec 2015 B1
9204252 Root Dec 2015 B2
9225897 Sehn et al. Dec 2015 B1
9241184 Weerasinghe Jan 2016 B2
9256860 Herger et al. Feb 2016 B2
9258459 Hartley Feb 2016 B2
9298257 Hwang et al. Mar 2016 B2
9314692 Konoplev et al. Apr 2016 B2
9330483 Du et al. May 2016 B2
9344606 Hartley et al. May 2016 B2
9357174 Li et al. May 2016 B2
9361510 Yao et al. Jun 2016 B2
9378576 Bouaziz et al. Jun 2016 B2
9385983 Sehn Jul 2016 B1
9396354 Murphy et al. Jul 2016 B1
9402057 Kaytaz et al. Jul 2016 B2
9407712 Sehn Aug 2016 B1
9407816 Sehn Aug 2016 B1
9412192 Mandel et al. Aug 2016 B2
9430783 Sehn Aug 2016 B1
9439041 Parvizi et al. Sep 2016 B2
9443227 Evans et al. Sep 2016 B2
9450907 Pridmore et al. Sep 2016 B2
9459778 Hogeg et al. Oct 2016 B2
9460541 Li et al. Oct 2016 B2
9489661 Evans et al. Nov 2016 B2
9489760 Li et al. Nov 2016 B2
9491134 Rosen et al. Nov 2016 B2
9503845 Vincent Nov 2016 B2
9508197 Quinn et al. Nov 2016 B2
9532171 Allen et al. Dec 2016 B2
9537811 Allen et al. Jan 2017 B2
9544257 Ogundokun et al. Jan 2017 B2
9576400 Van Os et al. Feb 2017 B2
9589357 Li et al. Mar 2017 B2
9592449 Barbalet et al. Mar 2017 B2
9628950 Noeth et al. Apr 2017 B1
9648376 Chang et al. May 2017 B2
9697635 Quinn et al. Jul 2017 B2
9706040 Kadirvel et al. Jul 2017 B2
9710821 Heath Jul 2017 B2
9744466 Fujioka Aug 2017 B2
9746990 Anderson Aug 2017 B2
9749270 Collet et al. Aug 2017 B2
9792279 Kim Oct 2017 B2
9792714 Li et al. Oct 2017 B2
9839844 Dunstan et al. Dec 2017 B2
9854219 Sehn Dec 2017 B2
9883838 Kaleal, III et al. Feb 2018 B2
9898849 Du et al. Feb 2018 B2
9911073 Spiegel et al. Mar 2018 B1
9911222 Setton Mar 2018 B2
9936165 Li et al. Apr 2018 B2
9954812 Kimura Apr 2018 B2
9959037 Chaudhri et al. May 2018 B2
9980100 Charlton May 2018 B1
9990373 Fortkort Jun 2018 B2
10039988 Lobb et al. Aug 2018 B2
10061977 Chang Aug 2018 B1
10097492 Tsuda et al. Oct 2018 B2
10116598 Tucker et al. Oct 2018 B2
10155168 Blackstock Dec 2018 B2
10219111 Chen Feb 2019 B1
10242477 Charlton et al. Mar 2019 B1
10242503 McPhee et al. Mar 2019 B2
10262250 Spiegel et al. Apr 2019 B1
10348662 Baldwin Jul 2019 B2
10362219 Wilson et al. Jul 2019 B2
10432559 Baldwin Oct 2019 B2
10475225 Park et al. Nov 2019 B2
10504266 Blattner et al. Dec 2019 B2
10547970 Zheng Jan 2020 B1
10573048 Ni et al. Feb 2020 B2
10657701 Osman et al. May 2020 B2
20020047868 Miyazawa Apr 2002 A1
20020067362 Agostino Nocera et al. Jun 2002 A1
20020078456 Hudson et al. Jun 2002 A1
20020087631 Sharma Jul 2002 A1
20020097257 Miller et al. Jul 2002 A1
20020122659 Mcgrath et al. Sep 2002 A1
20020128047 Gates Sep 2002 A1
20020144154 Tomkow Oct 2002 A1
20020169644 Greene Nov 2002 A1
20030001846 Davis et al. Jan 2003 A1
20030016247 Lai et al. Jan 2003 A1
20030017823 Mager et al. Jan 2003 A1
20030020623 Cao et al. Jan 2003 A1
20030023874 Prokupets et al. Jan 2003 A1
20030037124 Yamaura et al. Feb 2003 A1
20030052925 Daimon et al. Mar 2003 A1
20030101230 Benschoter et al. May 2003 A1
20030110503 Perkes Jun 2003 A1
20030126215 Udell Jul 2003 A1
20030148773 Spriestersbach et al. Aug 2003 A1
20030164856 Prager et al. Sep 2003 A1
20030229607 Zellweger et al. Dec 2003 A1
20040027371 Jaeger Feb 2004 A1
20040064429 Hirstius et al. Apr 2004 A1
20040078367 Anderson et al. Apr 2004 A1
20040111467 Willis Jun 2004 A1
20040158739 Wakai et al. Aug 2004 A1
20040189465 Capobianco et al. Sep 2004 A1
20040203959 Coombes Oct 2004 A1
20040215625 Svendsen et al. Oct 2004 A1
20040243531 Dean Dec 2004 A1
20040243688 Wugofski Dec 2004 A1
20050021444 Bauer et al. Jan 2005 A1
20050022211 Veselov et al. Jan 2005 A1
20050048989 Jung Mar 2005 A1
20050078804 Yomoda Apr 2005 A1
20050097176 Schatz et al. May 2005 A1
20050102381 Jiang et al. May 2005 A1
20050104976 Currans May 2005 A1
20050114783 Szeto May 2005 A1
20050119936 Buchanan et al. Jun 2005 A1
20050122405 Voss et al. Jun 2005 A1
20050162419 Kim et al. Jul 2005 A1
20050193340 Amburgey et al. Sep 2005 A1
20050193345 Klassen et al. Sep 2005 A1
20050198128 Anderson Sep 2005 A1
20050206610 Cordelli Sep 2005 A1
20050223066 Buchheit et al. Oct 2005 A1
26656288954 McCarthy et al. Dec 2005
20060026067 Nicholas et al. Feb 2006 A1
20060107297 Toyama et al. May 2006 A1
20060114338 Rothschild Jun 2006 A1
20060119882 Harris et al. Jun 2006 A1
20060242239 Morishima et al. Oct 2006 A1
20060252438 Ansamaa et al. Nov 2006 A1
20060265417 Amato et al. Nov 2006 A1
20060270419 Crowley et al. Nov 2006 A1
20060287878 Wadhwa et al. Dec 2006 A1
20060294465 Ronen Dec 2006 A1
20070004426 Pfleging et al. Jan 2007 A1
20070038715 Collins et al. Feb 2007 A1
20070040931 Nishizawa Feb 2007 A1
20070073517 Panje Mar 2007 A1
20070073823 Cohen et al. Mar 2007 A1
20070075898 Markhovsky et al. Apr 2007 A1
20070082707 Flynt et al. Apr 2007 A1
20070113181 Blattner et al. May 2007 A1
20070136228 Petersen Jun 2007 A1
20070168863 Blattner et al. Jul 2007 A1
20070176921 Iwasaki et al. Aug 2007 A1
20070192128 Celestini Aug 2007 A1
20070198340 Lucovsky et al. Aug 2007 A1
20070198495 Buron et al. Aug 2007 A1
20070208751 Cowan et al. Sep 2007 A1
20070210936 Nicholson Sep 2007 A1
20070214180 Crawford Sep 2007 A1
20070214216 Carrer et al. Sep 2007 A1
20070233556 Koningstein Oct 2007 A1
20070233801 Eren et al. Oct 2007 A1
20070233859 Zhao et al. Oct 2007 A1
20070243887 Bandhole et al. Oct 2007 A1
20070244750 Grannan et al. Oct 2007 A1
20070255456 Funayama Nov 2007 A1
20070281690 Altman et al. Dec 2007 A1
20080022329 Glad Jan 2008 A1
20080025701 Ikeda Jan 2008 A1
20080032703 Krumm et al. Feb 2008 A1
20080033930 Warren Feb 2008 A1
20080043041 Hedenstroem et al. Feb 2008 A2
20080049704 Witteman et al. Feb 2008 A1
20080062141 Chandhri Mar 2008 A1
20080076505 Ngyen et al. Mar 2008 A1
20080092233 Tian et al. Apr 2008 A1
20080094387 Chen Apr 2008 A1
20080104503 Beall et al. May 2008 A1
20080109844 Baldeschweiler et al. May 2008 A1
20080120409 Sun et al. May 2008 A1
20080132252 Altman Jun 2008 A1
20080147730 Lee et al. Jun 2008 A1
20080148150 Mall Jun 2008 A1
20080158222 Li et al. Jul 2008 A1
20080158230 Sharma et al. Jul 2008 A1
20080168033 Ott et al. Jul 2008 A1
20080168489 Schraga Jul 2008 A1
20080189177 Anderton et al. Aug 2008 A1
20080201638 Nair Aug 2008 A1
20080207176 Brackbill et al. Aug 2008 A1
20080208692 Garaventi et al. Aug 2008 A1
20080021421 Rasanen et al. Sep 2008 A1
20080222545 Lemay Sep 2008 A1
20080255976 Altberg et al. Oct 2008 A1
20080256446 Yamamoto Oct 2008 A1
20080256577 Funaki et al. Oct 2008 A1
20080266421 Takahata et al. Oct 2008 A1
20080270938 Carlson Oct 2008 A1
20080288338 Wiseman et al. Nov 2008 A1
20080306826 Kramer et al. Dec 2008 A1
20080313329 Wang et al. Dec 2008 A1
20080313346 Kujawa et al. Dec 2008 A1
20080318616 Chipalkatti et al. Dec 2008 A1
20090006191 Arankalle et al. Jan 2009 A1
20090006565 Velusamy et al. Jan 2009 A1
20090015703 Kim et al. Jan 2009 A1
20090016617 Bregman-amitai et al. Jan 2009 A1
20090024956 Kobayashi Jan 2009 A1
20090030774 Rothschild et al. Jan 2009 A1
20090030999 Gatzke et al. Jan 2009 A1
20090040324 Nonaka Feb 2009 A1
20090042588 Lottin et al. Feb 2009 A1
20090055484 Vuong et al. Feb 2009 A1
20090058822 Chaudhri Mar 2009 A1
20090070688 Gyorfi et al. Mar 2009 A1
20090079846 Chou Mar 2009 A1
20090008971 Wood et al. Apr 2009 A1
20090089678 Sacco et al. Apr 2009 A1
20090093261 Ziskind Apr 2009 A1
20090099925 Mehta et al. Apr 2009 A1
20090106672 Burstrom Apr 2009 A1
20090132341 Klinger May 2009 A1
20090132453 Hangartner et al. May 2009 A1
20090132665 Thomsen et al. May 2009 A1
20090148045 Lee et al. Jun 2009 A1
20090153492 Popp Jun 2009 A1
20090157450 Athsani et al. Jun 2009 A1
20090157752 Gonzalez Jun 2009 A1
20090158170 Narayanan et al. Jun 2009 A1
20090160970 Fredlund et al. Jun 2009 A1
20090163182 Gatti et al. Jun 2009 A1
20090177299 Van De Sluis Jul 2009 A1
20090177976 Bokor et al. Jul 2009 A1
20090192900 Collision Jul 2009 A1
20090199242 Johnson et al. Aug 2009 A1
20090202114 Morin et al. Aug 2009 A1
20090215469 Fisher et al. Aug 2009 A1
20090232354 Camp, Jr. et al. Sep 2009 A1
20090234815 Boerries et al. Sep 2009 A1
20090239552 Churchill et al. Sep 2009 A1
20090249222 Schmidt et al. Oct 2009 A1
20090249244 Robinson et al. Oct 2009 A1
20090265236 Schultz Oct 2009 A1
20090265604 Howard et al. Oct 2009 A1
20090265647 Martin et al. Oct 2009 A1
20090288022 Almstrand et al. Nov 2009 A1
20090291672 Treves et al. Nov 2009 A1
20090292608 Polachek Nov 2009 A1
20090300525 Jolliff et al. Dec 2009 A1
20090303984 Clark et al. Dec 2009 A1
20090319607 Belz et al. Dec 2009 A1
20090327073 Li Dec 2009 A1
20100010951 Miyazaki Jan 2010 A1
20100011422 Mason et al. Jan 2010 A1
20100023885 Reville et al. Jan 2010 A1
20100062794 Han Mar 2010 A1
20100070858 Morris Mar 2010 A1
20100082427 Burgener et al. Apr 2010 A1
20100082693 Hugg et al. Apr 2010 A1
20100083148 Finn Apr 2010 A1
20100100568 Papin et al. Apr 2010 A1
20100113065 Narayan et al. May 2010 A1
20100115426 Liu et al. May 2010 A1
20100130233 Lansing May 2010 A1
20100131864 Bokor May 2010 A1
20100131880 Lee et al. May 2010 A1
20100131895 Wohlert et al. May 2010 A1
20100153144 Miller et al. Jun 2010 A1
20100159944 Pascal et al. Jun 2010 A1
20100161658 Hamynen et al. Jun 2010 A1
20100161831 Haas et al. Jun 2010 A1
20100162149 Sheleheda et al. Jun 2010 A1
20100183280 Beauregard et al. Jul 2010 A1
20100185552 Deluca et al. Jul 2010 A1
20100185665 Horn et al. Jul 2010 A1
20100191631 Weidmann Jul 2010 A1
20100197318 Petersen et al. Aug 2010 A1
20100197319 Petersen et al. Aug 2010 A1
20100198683 Aarabi Aug 2010 A1
20100198694 Muthukrishnan Aug 2010 A1
20100198826 Petersen et al. Aug 2010 A1
20100198828 Petersen et al. Aug 2010 A1
20100198862 Jennings et al. Aug 2010 A1
20100198870 Petersen et al. Aug 2010 A1
20100201536 Robertson et al. Aug 2010 A1
20100203968 Gill et al. Aug 2010 A1
20100214436 Kim et al. Aug 2010 A1
20100223128 Dukellis et al. Sep 2010 A1
20100223343 Bosan et al. Sep 2010 A1
20100227682 Reville et al. Sep 2010 A1
20100234106 Kojima Sep 2010 A1
20102501169 Johnston et al. Sep 2010
20100257196 Waters et al. Oct 2010 A1
20100259386 Holley et al. Oct 2010 A1
20100273509 Sweeney et al. Oct 2010 A1
20100281045 Dean Nov 2010 A1
20100306669 Della Pasqua Dec 2010 A1
20110004071 Faiola et al. Jan 2011 A1
20110010205 Richards Jan 2011 A1
20110029512 Folgner et al. Feb 2011 A1
20110040783 Uemichi et al. Feb 2011 A1
20110040804 Peirce et al. Feb 2011 A1
20110050909 Ellenby et al. Mar 2011 A1
20110050915 Wang et al. Mar 2011 A1
20110064388 Brown et al. Mar 2011 A1
20110066743 Hurley et al. Mar 2011 A1
20110083101 Sharon et al. Apr 2011 A1
20110093780 Dunn Apr 2011 A1
20110102630 Rukes May 2011 A1
20110115798 Nayar et al. May 2011 A1
20110119133 Igelman et al. May 2011 A1
20110137881 Cheng et al. Jun 2011 A1
20110145564 Moshir et al. Jun 2011 A1
20110148864 Lee et al. Jun 2011 A1
20110159890 Fortescue et al. Jun 2011 A1
20110164163 Bilbrey et al. Jul 2011 A1
20110183645 Chawla Jul 2011 A1
20110197194 D'Angelo et al. Aug 2011 A1
20110202598 Evans et al. Aug 2011 A1
20116202968 Nurmi Aug 2011
20110211534 Schmidt et al. Sep 2011 A1
20110213845 Logan et al. Sep 2011 A1
20110215966 Kim et al. Sep 2011 A1
20110225048 Nair Sep 2011 A1
20110238763 Shin et al. Sep 2011 A1
20110239136 Goldman et al. Sep 2011 A1
20110255736 Thompson et al. Oct 2011 A1
20110273575 Lee Nov 2011 A1
20110282799 Huston Nov 2011 A1
20110283188 Farrenkopf et al. Nov 2011 A1
20110314419 Dunn et al. Dec 2011 A1
20110320373 Lee et al. Dec 2011 A1
20120028559 Whitney et al. Feb 2012 A1
20120033718 Kauffman et al. Feb 2012 A1
20120036015 Sheikh Feb 2012 A1
20120036443 Ohmori et al. Feb 2012 A1
20120054797 Skog et al. Mar 2012 A1
20120059722 Rao Mar 2012 A1
20120062805 Candelore Mar 2012 A1
20120084731 Filman et al. Apr 2012 A1
20120084835 Thomas et al. Apr 2012 A1
20120099800 Llano et al. Apr 2012 A1
20120108293 Law et al. May 2012 A1
20120110096 Smarr et al. May 2012 A1
20120113106 Choi et al. May 2012 A1
20120113143 Adhikari et al. May 2012 A1
20120113272 Hata May 2012 A1
20120123830 Svendsen et al. May 2012 A1
20120123871 Svendsen et al. May 2012 A1
20120123875 Svendsen et al. May 2012 A1
20120124126 Alcazar et al. May 2012 A1
20120124176 Curtis et al. May 2012 A1
20120124458 Cruzada May 2012 A1
20120130717 Xu et al. May 2012 A1
20120131507 Sparandara et al. May 2012 A1
20120131512 Takeuchi et al. May 2012 A1
20120143760 Abulafia et al. Jun 2012 A1
20120148033 Tibbits Jun 2012 A1
20120150978 Monaco Jun 2012 A1
20120165100 Lalancette et al. Jun 2012 A1
20120166971 Sachson et al. Jun 2012 A1
20120169855 Oh Jul 2012 A1
20120172062 Altman et al. Jul 2012 A1
20120173991 Roberts et al. Jul 2012 A1
20120176401 Hayward et al. Jul 2012 A1
20120184248 Speede Jul 2012 A1
20120197724 Kendall Aug 2012 A1
20120200743 Blanchflower et al. Aug 2012 A1
20120209924 Evans et al. Aug 2012 A1
20120210244 De Francisco et al. Aug 2012 A1
20120212632 Mate et al. Aug 2012 A1
20120220264 Kawabata et al. Aug 2012 A1
20120226748 Bosworth et al. Sep 2012 A1
20120233000 Fisher et al. Sep 2012 A1
20120236162 Imamura Sep 2012 A1
20120239761 Linner et al. Sep 2012 A1
20120250951 Chen Oct 2012 A1
20120252418 Kandekar et al. Oct 2012 A1
20120254325 Majeti et al. Oct 2012 A1
20120278387 Garcia et al. Nov 2012 A1
20120278692 Shi Nov 2012 A1
20120290637 Perantatos et al. Nov 2012 A1
20120299954 Wada et al. Nov 2012 A1
20120304052 Tanaka et al. Nov 2012 A1
20120304080 Wormaid et al. Nov 2012 A1
20120307096 Ford et al. Dec 2012 A1
20120307112 Kunishige et al. Dec 2012 A1
20120319904 Lee et al. Dec 2012 A1
20120323933 He et al. Dec 2012 A1
20120324018 Metcalf et al. Dec 2012 A1
20130006759 Srivastava et al. Jan 2013 A1
20130024757 Doll et al. Jan 2013 A1
20130036364 Johnson Feb 2013 A1
20130045753 Obermeyer et al. Feb 2013 A1
20130050260 Reitan Feb 2013 A1
20130055083 Fino Feb 2013 A1
20130057587 Leonard et al. Mar 2013 A1
20130059607 Herz et al. Mar 2013 A1
20130060690 Oskolkov et al. Mar 2013 A1
20130063369 Malhotra et al. Mar 2013 A1
20130067027 Song et al. Mar 2013 A1
20130071093 Hanks et al. Mar 2013 A1
20130080254 Thramann Mar 2013 A1
20130085790 Palmer et al. Apr 2013 A1
20130086072 Peng et al. Apr 2013 A1
20130090171 Holton et al. Apr 2013 A1
20130095857 Garcia et al. Apr 2013 A1
20130103760 Golding et al. Apr 2013 A1
20130103766 Gupta Apr 2013 A1
20130104053 Thornton et al. Apr 2013 A1
20130110885 Brundrett, III May 2013 A1
20130111514 Slavin et al. May 2013 A1
20130128059 Kristensson May 2013 A1
20130129252 Lauper May 2013 A1
20130132477 Bosworth et al. May 2013 A1
20130145286 Feng et al. Jun 2013 A1
20130159110 Rajaram et al. Jun 2013 A1
20130159919 Leydon Jun 2013 A1
20130169822 Zhu et al. Jul 2013 A1
20130173729 Starenky et al. Jul 2013 A1
20130182133 Tanabe Jul 2013 A1
20130185131 Sinha et al. Jul 2013 A1
20130191198 Carlson et al. Jul 2013 A1
20130194301 Robbins et al. Aug 2013 A1
20130198176 Kim Aug 2013 A1
20130201187 Tong et al. Aug 2013 A1
20130218965 Abrol et al. Aug 2013 A1
20130218968 Mcevilly et al. Aug 2013 A1
20130222323 Mckenzie Aug 2013 A1
20130227476 Frey Aug 2013 A1
20130232194 Knapp et al. Sep 2013 A1
20130249948 Reitan Sep 2013 A1
20130257877 Davis Oct 2013 A1
20130263031 Oshiro et al. Oct 2013 A1
20130265450 Barnes, Jr. Oct 2013 A1
20130267253 Case et al. Oct 2013 A1
20130275505 Gauglitz et al. Oct 2013 A1
20130290443 Collins et al. Oct 2013 A1
20130304646 De Geer et al. Nov 2013 A1
20130311255 Cummins et al. Nov 2013 A1
20130325964 Berberat Dec 2013 A1
20130344896 Kirmse et al. Dec 2013 A1
20130346869 Asver et al. Dec 2013 A1
20130346877 Borovoy et al. Dec 2013 A1
20140006129 Heath Jan 2014 A1
20140011538 Mulcahy et al. Jan 2014 A1
20140032682 Prado et al. Jan 2014 A1
20146619264 Wachman et al. Jan 2014
20140040066 Fujioka Feb 2014 A1
20140043329 Wang et al. Feb 2014 A1
20140045530 Gordon et al. Feb 2014 A1
20140047016 Rao Feb 2014 A1
20140047045 Baldwin et al. Feb 2014 A1
20140047335 Lewis et al. Feb 2014 A1
20140049652 Moon et al. Feb 2014 A1
20140052485 Shidfar Feb 2014 A1
20140052633 Gandhi Feb 2014 A1
20140055554 Du et al. Feb 2014 A1
20140057660 Wager Feb 2014 A1
26140043204 Basnayake Feb 2014
20140082651 Sharifi Mar 2014 A1
20140092130 Anderson et al. Apr 2014 A1
20140096029 Schultz Apr 2014 A1
20140114565 Aziz et al. Apr 2014 A1
20140122658 Haeger et al. May 2014 A1
20140122787 Shalvi et al. May 2014 A1
20140125678 Wang et al. May 2014 A1
20140129343 Finster et al. May 2014 A1
20140129953 Spiegel May 2014 A1
20140143143 Fasoli et al. May 2014 A1
20140149519 Redfern et al. May 2014 A1
20140155102 Cooper et al. Jun 2014 A1
20140173424 Hogeg et al. Jun 2014 A1
20140173457 Wang et al. Jun 2014 A1
20140189592 Benchenaa et al. Jul 2014 A1
20140207679 Cho Jul 2014 A1
20140214471 Schreiner, III Jul 2014 A1
20140222564 Kranendonk et al. Aug 2014 A1
20140258405 Perkin Sep 2014 A1
20140265359 Cheng et al. Sep 2014 A1
20140266703 Dalley, Jr. et al. Sep 2014 A1
20140279061 Elimeliah et al. Sep 2014 A1
20140279436 Dorsey et al. Sep 2014 A1
20140279540 Jackson Sep 2014 A1
20140280537 Pridmore et al. Sep 2014 A1
20140282096 Rubinstein et al. Sep 2014 A1
20140287779 O'Keefe et al. Sep 2014 A1
20140289833 Briceno Sep 2014 A1
20140306986 Gottesman et al. Oct 2014 A1
20140317302 Naik Oct 2014 A1
20140324627 Haver et al. Oct 2014 A1
20140324629 Jacobs Oct 2014 A1
20140325383 Brown et al. Oct 2014 A1
20150020086 Chen et al. Jan 2015 A1
20150046278 Pei et al. Feb 2015 A1
20150071619 Brough Mar 2015 A1
20150087263 Branscomb et al. Mar 2015 A1
20150088622 Ganschow et al. Mar 2015 A1
20150095020 Leydon Apr 2015 A1
20150096042 Mizrachi Apr 2015 A1
20150116529 Wu et al. Apr 2015 A1
20150169827 Laborde Jun 2015 A1
20150172534 Miyakawa et al. Jun 2015 A1
20150178260 Brunson Jun 2015 A1
20150206349 Rosenthal et al. Jul 2015 A1
20150222814 Li et al. Aug 2015 A1
20150245168 Martin Aug 2015 A1
20150261917 Smith Sep 2015 A1
20150312184 Langholz et al. Oct 2015 A1
20150350136 Flynn, III et al. Dec 2015 A1
20150378502 Hu et al. Dec 2015 A1
20156365795 Allen et al. Dec 2015
20160006927 Sehn Jan 2016 A1
20160014063 Hogeg et al. Jan 2016 A1
20160085773 Chang et al. Mar 2016 A1
20160085863 Allen et al. Mar 2016 A1
20160099901 Allen et al. Apr 2016 A1
20160134840 Mcculloch May 2016 A1
20160180887 Sehn Jun 2016 A1
20160182422 Sehn et al. Jun 2016 A1
20160182875 Sehn Jun 2016 A1
20160234149 Tsuda et al. Aug 2016 A1
20160239248 Sehn Aug 2016 A1
20160277419 Allen et al. Sep 2016 A1
20160321708 Sehn Nov 2016 A1
20170006094 Abou Mahmoud et al. Jan 2017 A1
20170061308 Chen et al. Mar 2017 A1
20170080346 Abbas Mar 2017 A1
20170087473 Siegel et al. Mar 2017 A1
20170113140 Blackstock et al. Apr 2017 A1
20170118145 Aittoniemi et al. Apr 2017 A1
20170199855 Fishbeck Jul 2017 A1
20170235848 Van Dusen et al. Aug 2017 A1
20170287006 Azmoodeh et al. Oct 2017 A1
20170310934 Du et al. Oct 2017 A1
20170312634 Ledoux et al. Nov 2017 A1
20180047200 O'hara et al. Feb 2018 A1
20180113587 Allen et al. Apr 2018 A1
20180115503 Baldwin et al. Apr 2018 A1
20180146014 Arzunian May 2018 A1
20180315076 Andreou Nov 2018 A1
20180315133 Brody et al. Nov 2018 A1
20180315134 Amitay et al. Nov 2018 A1
20190001223 Blackstock et al. Jan 2019 A1
20190057616 Cohen et al. Feb 2019 A1
20190188920 Mcphee et al. Jun 2019 A1
Foreign Referenced Citations (52)
Number Date Country
2887596 Jul 2015 CA
109863532 Jun 2019 CN
110168478 Aug 2019 CN
2051480 Apr 2009 EP
2151797 Feb 2010 EP
2184092 May 2010 EP
2399928 Sep 2004 GB
2001230801 Aug 2001 JP
5497931 Mar 2014 JP
19990073076 Oct 1999 KR
20010078417 Aug 2001 KR
101445263 Sep 2014 KR
WO-1996024213 Aug 1996 WO
WO-1999063453 Dec 1999 WO
WO-2000058882 Oct 2000 WO
WO-2001029642 Apr 2001 WO
WO-2001050703 Jul 2001 WO
WO-2003094072 Nov 2003 WO
WO-2004095308 Nov 2004 WO
WO-2006107182 Oct 2006 WO
WO-2006118755 Nov 2006 WO
WO-2007092668 Aug 2007 WO
WO-2007134402 Nov 2007 WO
WO-2009043020 Apr 2009 WO
WO-2011040821 Apr 2011 WO
WO-2011119407 Sep 2011 WO
WO-2012139276 Oct 2012 WO
WO-2013008238 Jan 2013 WO
WO-2013027893 Feb 2013 WO
WO-2013045753 Apr 2013 WO
WO-2013152454 Oct 2013 WO
WO-2013166588 Nov 2013 WO
WO-2014006129 Jan 2014 WO
WO-2014031899 Feb 2014 WO
WO-2014068573 May 2014 WO
WO-2014115136 Jul 2014 WO
WO-2014194262 Dec 2014 WO
WO-2014194439 Dec 2014 WO
WO-2015192026 Dec 2015 WO
WO-2016044424 Mar 2016 WO
WO-2016054562 Apr 2016 WO
WO-2016065131 Apr 2016 WO
WO-2016090605 Jun 2016 WO
WO-2016100318 Jun 2016 WO
WO-2016100318 Jun 2016 WO
WO-2016100342 Jun 2016 WO
WO-2016149594 Sep 2016 WO
WO-2016179166 Nov 2016 WO
WO-2018081013 May 2018 WO
WO-2018102562 Jun 2018 WO
WO-2018129531 Jul 2018 WO
WO-2019089613 May 2019 WO
Non-Patent Literature Citations (20)
Entry
“A Whole New Story”, Snap, Inc., [Online] Retrieved from the Internet:<URL: https://www.snap.com/en-US/news/>, (2017), 13 pgs.
“Adding photos to your listing”, eBay, [Online] Retrieved from the Internet: <URL: http://pages.ebay.com/help/sell/pictures.html>, (accessed May 24, 17), 4 pgs.
“BlogStomp”, StompSoftware, [Online] Retrieved from the Internet: <URL: http://stompsoftware.com/blogstomp>, (accessed May 24, 17), 12 pgs.
“Cup Magic Starbucks Holiday Red Cups come to life with AR app”, Blast Radius, [Online] Retrieved from the Internet: <URL: https://web.archive.Org/web/20160711202454/http://www.blastradius.com/work/cup-magic>, (2016), 7 pgs.
“Daily App: InstaPlace (iOS/Android): Give Pictures a Sense of Place”, TechPP, [Online] Retrieved from the Internet: <URL: http://techpp.com/2013/02/15/instaplace-app-review>, (2013), 13 pga.
“InstaPlace Photo App Tell The Whole Story”, [Online] Retrieved from the Internet: <URL: youtu.be/uF_gFkg1hBM>, (Nov. 8, 2013), 113 pgs. , 1:02 min.
“International Application Serial No. PCT/US2015/Q37251, International Search Report mailed Sep. 29, 15”, 2 pgs.
“Introducing Snapchat Stories”, [Online] Retrieved from the Internet: <URL: https://web.archive.org/web/20131026084921 /https://www. youtube. com/watch?ve88Cu3yN-LIM>, (Oct. 3, 2013), 92 pgs.; 00:47 min.
“Macy's Believe-0-Magic”, [Online] Retrieved from the Internet: <URL: https://web.archive.org/web/20190422101854/https://www. youtube. com/watch?vexvzRXy3J 0Z0&feature=youtu.be>, (Nov. 7, 2011), 102 pgs.; 00:51 min.
“Macy's introduces Augmented Reality Experience in Stores across Country as Part of Its 2011 Believe Campaign”, Business Wire, [Online] Retrieved from the Internet: <URL: https://www.businesswire.com/news/home/201111 02006759/en/Macys-Introduces-Augmented-Reality-Experience-Stores-Country>, (Nov. 2, 2011), 6 pgs.
“Starbucks Cup Magic”, [Online] Retrieved from the internet: <URL: https://www.youtube.com/watch7v˜RWvvQXi9RGQw'>, (Nov. 8, 2011), 87 pgs.; 00:47 min.
“Starbucks Cup Magic for Valentine's Day”, [Online] Retrieved from the Internet: <URL: nttps://www.youtube.com/watch?v8nvqOzjq1Ow>, (Feb. 6, 2012), 88 p. : 00:45 min.
“Starbucks Holiday Red Cups Come to Life, Signaling the Return of the Merriest Season”, Business Wire, [Online] Retrieved from the Internet: <URL: http://www.businesswire.com/news/home/2011111 5005744/en/247951 3/Starbucks-Holiday-Red-Cups-Life-Signaiing-Return>, (Nov. 15, 2011), 5 pgs.
Carthy, Roi, “Dear All Photo Apps: Mobli Just Won Filters”, TechCrunch, [Online] Retrieved from the Internet: <URL: https://techcrunch.com/2011/09/08/mobli-filters>, (Sep. 8, 2011), 10 pgs.
Janthong, Isaranu, “Instaplace ready on Android Google Play store”, Android App Review Thailand, [Online] Retrieved from the Internet: <URL: http://www.android-free-app-review.com/2013/01/instaplace-android-google-play-store.htmb, (Jan. 23, 2013), 9 pgs.
MacLeod, Duncan, “Macys Believe-o-Magic App”, [Online] Retrieved from the Internet: <URL: http://theinspirationroom.com/dally/2011/macys-believe-o-magic-app>, (Nov. 14, 2011), 10 pgs.
MacLeod, Duncan, “Starbucks Cup Magic Lets Merry”, [Online] Retrieved from the Internet: <URL: http://theinspirationroom.com/daily/2011/starbucks-cup-magic>, (Nov. 12, 2011), 8 pgs.
Notopoulos, Katie, “A Guide To The New Snapchat Filters And Big Fonts”, [Online] Retrieved from the Internet: <URL: https://www.buzzfeed.com/katienotopoulos/a-guide-to-the-new-snapchat-filters-and-big-fonts?utm term=.bkQ9qVZWe#.nv58YXpkV>, (Dec. 22, 2013), 13 pgs.
Panzarino, Matthew, “Snapchat Adds Filters, A Replay Function And For Whatever Reason, Time, Temperature And Speed Overlays”, TechCrunch, [Online] Retrieved form the Internet: <URL: https://techcrunch.com/2013/12/20/snapchat-adds-filters-new-font-and-for-some-reason-time-temperature-and-speed-overlays/>, (Dec. 20, 2013), 12 pgs.
Tripathi, Rohit, “Watermark Images in PHP And Save File on Server”, [Online] Retrieved from the Internet: <URL: http://code.rohitink.com/2012/12/28/watermark-images-in-php-and-save-file-on-server, (Dec. 28, 2012), 4 pgs.
Provisional Applications (1)
Number Date Country
62773922 Nov 2018 US