There are a number of collaborative systems that allow users to communicate. For example, some systems allow people to collaborate by sharing content using video streams, shared files, chat messages, etc. Some systems also allow people to simultaneously edit documents while also enabling them to communicate using video and audio streams. Users can also establish a communication session at a specific time, e.g., a time slot for an online meeting, and share live video streams that can concurrently display people and content.
Although existing collaborative systems provide feature sets that allow people to conduct meetings via live video streams, some of these systems still have a number of drawbacks. For example, some existing systems do not have effective features that accommodate people who need language translators or sign language interpreters. In such instances, a meeting attendee can have an assistant, e.g., a translator or an interpreter, join a meeting. The assistant can then listen to the meeting, observe shared content and video streams, and provide an interpretation of their observations. For these tasks, it is important for the meeting attendee to have a clear view of their assistant. It can be difficult for the attendee to keep up with the flow of the meeting if the video rendering of the assistant moves or resizes during the meeting. Salient information may be missed if this occurs.
Some existing systems offer limited features to limit the movement of video streams. For example, some current solutions allow a meeting attendee to select a video stream, e.g., a video stream can be “pinned” into a location. A video that is “pinned” is a video that is selected to be fixed to a particular location of a user interface during one or more select operations. Although this solution can help in some situations, there are many instances where these selected streams can be resized, moved, or removed altogether. In some illustrative examples, a selected stream can be moved or resized when they are overridden or predominated by other prioritization features such as “Spotlighting” or when other events occur, such as a low bandwidth detection, etc. Spotlighting occurs when a meeting participant wants to highlight a person in a meeting for others to see. If a meeting moderator spotlights a particular person, a video of an assistant for some participants may be interrupted. This interruption of a video stream of a meeting assistant can cause a loss of production and engagement for the person that relies on their assistant, particularly in a situation where sign language interpretation or language translation is needed.
In addition, when a person is pinned by a meeting attendee, that selection only applies to the video stream for that particular meeting. Thus, each time a person joins a meeting, they have to locate a video stream of an assistant, and manually select that video stream. This is a cumbersome task that can cause a person to miss a portion of a meeting or cause an interruption for other participants. Moreover, the requirement of this manual operation to select a stream for an assistant sometimes requires their assistant to be online for them to be selected. This may require a person to wait for his or her assistant to join. This coordination requires a particular sequence in which people join a meeting, which can interrupt other events and the overall flow of a meeting. These issues can be further exacerbated by the fact that a person might need multiple assistants. All of these issues can lead to a loss of production and engagement, which ultimately leads to inefficient use of computing resources.
The techniques disclosed herein enable a system to provide persistent participant prioritization across communication sessions. A user can establish a priority for an assistant having a particular role, e.g., a sign language interpreter, a translator, etc. That prioritization can be stored in a user setting that causes a system to automatically persist the display of a video stream of their assistant in a designated region of a user interface throughout a communication session. The user setting is also utilized by the system so that the prioritization of the assistant persists across multiple communication sessions. Thus, the display of a video stream of an assistant is automatically positioned in the designated region each time the user joins a meeting without requiring a user input to “pin” the display of another participant. The persistent display of the video stream is not interrupted by predetermined events of a communication session, e.g., a presenter sharing content, detection of low network bandwidth, detection of active speakers, participants joining a session, etc.
In some configurations, the system can provide multiple levels of prioritization so that some users can be applied to a “regular pin” while others can be applied to a “super pin.” User settings can define individual priority levels assigned to individual groups of participants. A first priority level, e.g., a super pin, causes a system to display renderings of a first set of participants, such as a sign language interpreter, within a first designated region, e.g., a primary stage of a user interface. The user settings can cause the system to restrict movement of the renderings of the first set of participants in the event of a first category of state changes of the communication session, e.g., detection of an active speaker, detection of a user joining a meeting, detection of a user leaving a meeting, etc. The user settings can also cause the system to restrict movement of the renderings of the first set of participants in the event of a second category of state changes of the communication session, detection of low bandwidth, display of shared content, etc.
A second priority level, e.g., a regular pin, causes the system to display renderings of a second set of participants, such as select team members, within a second designated region, e.g., a secondary stage, of a user interface. The user settings can restrict the movement of the second set of participants in response to the first category of state changes, e.g., detection of active speakers, while allowing movement of the second set of participants in response to a second category of state changes of the communication session, e.g., detection of low bandwidth, display of shared content, etc.
The techniques disclosed herein provide a number of technical benefits. In one example, the techniques disclosed herein provide reliable accessibility features. If a participant of a meeting is in need of a sign language interpreter, the system can maintain the display of their sign language interpreter throughout a number of interruptions. This has a number of benefits over traditional pinning. For example, certain events, e.g., detection of low bandwidth, do not disrupt the display of the video stream of the language interpreter. This allows the user to view an interpretation of the content of a meeting with an increased reliability over some existing systems. In addition, the user does not have to go through the process of selecting the language interpreter to be pinned during a meeting. The automatic selection and persistent display of an assistant eliminates the need for a meeting participant to manually identify another user as an assistant and provide input to pin a display of that other user. This can save a number of computing resources in that a meeting participant does not interrupt a meeting or miss any content each time they join a meeting.
By providing participant prioritization across communication sessions, systems can promote user engagement. By promoting user engagement and avoiding user fatigue, particularly in a communication system, users can more effectively exchange information. This helps mitigate occurrences where shared content is missed or overlooked when users become distracted or disengaged. Promotion of user engagement and avoidance of user fatigue can reduce occurrences where users need to prolong meetings or re-send missed information. More effective communication of shared content can also help avoid the need for external systems, such as mobile phones for texting and other messaging platforms. This can help reduce the duplicative use of network, processor, memory, or other computing resources. The disclosed techniques also provide improved human interaction with a system using automation of user settings. This enables a system to be utilized in more effective ways by reducing the display of unwanted menus, reducing erroneously selected objects, or reducing erroneously triggered operations.
Features and technical benefits other than those explicitly described above will be apparent from a reading of the following Detailed Description and a review of the associated drawings. This Summary is provided to introduce a selection of concepts in a simplified form that are further described below in the Detailed Description. This Summary is not intended to identify key or essential features of the claimed subject matter, nor is it intended to be used as an aid in determining the scope of the claimed subject matter. The term “techniques,” for instance, may refer to system(s), method(s), computer-readable instructions, module(s), algorithms, hardware logic, and/or operation(s) as permitted by the context described above and throughout the document.
The Detailed Description is described with reference to the accompanying figures. In the figures, the left-most digit(s) of a reference number identifies the figure in which the reference number first appears. The same reference numbers in different figures indicate similar or identical items. References made to individual items of a plurality of items can use a reference number with a letter of a sequence of letters to refer to each individual item. Generic references to the items may use the specific reference number without the sequence of letters.
In some embodiments, the system can identify a particular person as an assistant by identifying a role that corresponds with the participant's prerequisites. For example, if the participant's prerequisites indicate that the participant is hard-of-hearing, and another person has role as a “sign language translator” the system may identify that other person as the participant's assistant. In response to the selection of the assistant, the system then automatically displays a live video stream of the assistant on a user interface rendered on the participant's computer.
A communication session can be in the form of an on-line meeting, a broadcast or any other gathering that includes a start time and an end time. As shown in
Each user can be displayed in a user interface as two-dimensional 2D images or each user can be displayed in a user interface as a three-dimensional representation, e.g., an avatar. The 3D representation may be a static model or a dynamic model that is animated in real-time responsive to a user input. Although this example illustrates a user interface with users displayed as 2D images, it can be appreciated that the techniques disclosed herein can apply to other forms of representations, videos or other types of renderings. The computers 11 can be in the form of desktop computers, head-mounted display units, tablets, mobile phones, etc. The system can generate a user interface showing aspects of the communication session to each of the users. In the example of
In this example, the user interface is rendered on a display device of the tenth computer 11J, which is associated with the Tenth User 10J, Charlotte Davis. Charlotte is referred to herein as the “viewer” of the user interface displayed on the tenth computer 11J. The first user interface arrangement 101A comprises a first region 120A, also referred to herein as a designated region 120A or a primary stage 120A. The first user interface arrangement 101A also includes a second region 120B, also referred to herein as a secondary region 120B or a secondary stage 120B. The first user interface arrangement 101A also comprises another rendering of a video stream 151J showing a self-view of the Tenth User 10J. This video stream 151J can be displayed in the second region 120B and is restricted from being displayed in the first region 120A. The first region is only reserved for video streams of users having roles that correspond to prerequisites of the viewer. The viewer in this example is the Tenth User 10J of the tenth computer 11J.
When the Tenth User 10J (User J) joins the communication session, the system automatically accesses the preferences of User J. The preferences can indicate that User J is in need of assistance, e.g., a prerequisite that User J has indicated they are hard-of-hearing and is in need of assistance. In response to that indication, the system can cause a display of a rendering of a video stream 151A of a select user, e.g., the First User 10A (User A), within the designated region 120A of the user interface 101A. As described in more detail below with respect to
Once selected for a regular pin, a pinned video, e.g., the rendering 151D of the fourth user 10D, is restricted from being moved or resized in response to the detection of a first category of state changes. A first category of state changes can include a state change involving the detection of an active speaker. When an active speaker is detected, the system can rearrange other video renderings that are not pinned. The rearrangement of the other video renderings can involve moving the most active speaker to a prominent position within a secondary stage 120B. For example, as shown in the transition between
Referring now to
Referring now to
In some embodiments, the threshold minimum size may be based on the device type or a screen size. For instance, for a desktop computer or a device having a twenty two inch monitor, the threshold minimum size may be a predetermined percentage of the screen, e.g., 50%, of one dimension of the screen. However, for a tablet or mobile device or a device having a five inch screen, the threshold minimum size may be a greater predetermined percentage of the screen, e.g., 90%, of one dimension of the screen. Although screen dimensions are used in this example other units of measure can be utilized. For instance, if a device screen has less than a threshold number of pixels, e.g., two million, the system may use a first threshold minimum size; and if a device screen has more than the threshold number of pixels, the system may use a second threshold minimum size for the rendering of the assistant 10A, where in this example, the first threshold minimum size is greater than the second threshold minimum size. The threshold minimum sizes can be based on a number of pixels or one or more dimensions of the rendering. This allows a system to use more of the screen for a rendering of the assistant 10A for smaller screen devices. The threshold minimum size can apply to any rendering 151A of an assistant 10A, or a user having a role that corresponds to a prerequisite of a viewing user.
The rendering of the assistant has a higher priority over the renderings of other video streams. The assistant or a user, such as User A, that is selected to be persistently displayed is defined herein as a user that has a role that corresponds to one or more prerequisites of a viewing user, e.g., User J, the viewer of the user interface. The movement of the persistently displayed can also be limited to a threshold distance. Thus, when an assistant is persistently displayed in a primary stage 120A, the system limits the movement of that rendering to a threshold vertical distance or a threshold horizontal distance. Such embodiments allow the viewer to maintain a view with their designated assistant. Also shown in
In addition to the differences described above, there are a number of other differences between a regular pin and a super pin. For instance, a video that is selected for a regular pin does not persist across communication sessions. Users have to select videos for regular pins for each meeting they join. However, a video that is selected for a super pin persists across communication sessions. The persistence across communication sessions can be achieved by storing data that associate's a particular assistant with a participant. For example, once User A is identified as an assistant for User J, the identity for User A may be stored in a setting indicating that User A is an assistant to User J. Each time User J joins a meeting, that setting is accessed and a user interface that is displayed to User J will automatically display a rendering of User A in a designated region 120A.
In other embodiments, as shown in
The settings 400 are stored in a manner that allows the system 100 to access the settings each time a user joins a meeting. When a meeting participant, such as User J, joins a meeting, the system accesses the user settings and determines if one of the prerequisites 410A associated with the meeting participant, User 10J, corresponds to a role 410A of another user, such as User A. When the role of a particular user is determined to correspond with a prerequisite of the meeting attendee, the system selects that particular user as an assistant to the meeting attendee. The system then persistently displays a rendering of the assistant in a user interface as described herein.
The settings 400 can also be referred to herein as “accessibility setting.” The accessibility settings can be any data structure, document, or other form of data that defines a person's needs and associates those needs with their identity. For example, a profile or registration data at the operating system level or application level can indicate that a user has drivers and equipment for a particular accessibility need. That data can be used to indicate a prerequisite that a person is hard-of-hearing, etc. In another example, emails or communication data indicating a person's accessibility needs can also be utilized to indicate a prerequisite of a user and invoke the operations disclosed herein. If a use has specific applications installed on their phone, e.g., a sign language application, such data can also be used to prerequisite of a user and invoke the operations disclosed herein. The settings 400 can be at any stack or level, such as OS, user profile, application level, etc.
In some embodiments, the system may limit the number of assistants for a particular user. For instance, the system may limit User J to only two assistants. This limitation allows the system to provided intelligible display of each assistant, as a large number of assistants may cause the display of smaller renderings which may be difficult to see.
It should also be understood that the illustrated methods can start or end at any time and need not be performed in their entirety. Some or all operations of the methods, and/or substantially equivalent operations, can be performed by execution of computer-readable instructions included on a computer-storage media, as defined herein. The term “computer-readable instructions,” and variants thereof, as used in the description and claims, is used expansively herein to include routines, applications, application modules, program modules, programs, components, data structures, algorithms, and the like. Computer-readable instructions can be implemented on various system configurations, including single-processor or multiprocessor systems, minicomputers, mainframe computers, personal computers, hand-held computing devices, microprocessor-based, programmable consumer electronics, combinations thereof, and the like. Although the example routine described below is operating on a system, e.g., one or more computing devices, it can be appreciated that this routine can be performed on any computing system which may include any number of computers working in concert to perform the operations disclosed herein.
Thus, it should be appreciated that the logical operations described herein are implemented as a sequence of computer implemented acts or program modules running on a computing system such as those described herein and/or as interconnected machine logic circuits or circuit modules within the computing system. The implementation is a matter of choice dependent on the performance and other requirements of the computing system. Accordingly, the logical operations may be implemented in software, in firmware, in special purpose digital logic, and any combination thereof.
Additionally, the operations illustrated in
The routine 500 includes an operation 501 where the system detects that a user of a computer joins a communication session. The communication session can be in the form of an online meeting and a user, such as User J, can join using a communication application that is configure to display live video streams of multiple users.
At operation 503, the system accesses settings 400 that persist across multiple communication sessions for a user 10J. The settings define individual prerequisites 410 for the user 10J. The access to the settings is automatically performed by the system without user input. The use of the settings causes the system to select at least one select user 10A having a role 420A that corresponds to at least one prerequisite 410A of the user 10J. The selection is performed automatically by the system 100 in response to the user 10J joining a communication session. An example of the settings is shown in
At operation 505 the system analyzes a data structure 401 that relates individual users, e.g., User 10A, User 10K, and User 10 with one or more roles 420. The analysis of the data structure causes the system to identify one or more user profiles 430A of the at least one select user 10A having the role 420A that corresponds to the at least one prerequisite 410A of the user 10J. For instance, a role such as a sign language interpreter can't be determined to correspond with a particular prerequisite, e.g., in need of hearing assistance.
Operation 505 can involve a keyword match, a pseudo keyword match, or by the use of other types of matching processes, which may include heuristic-based operations. For instance, keywords can be stored in association with a role of a person, and when that role has a keyword match or a threshold contextual match with a prerequisite of an attendee, that person may be assigned as a persistently displayed assistant for the attendee. In some configuration, the system can determine that a role of a candidate corresponds to the at least one prerequisite of the user by identifying at least one of a keyword match between the role and the at least one prerequisite. In addition or alternatively, the system can perform a phrase match between the role and the at least one prerequisite. In addition, or alternatively, a character matching between the role and the at least one prerequisite can be performed by applying historical data to a heuristic-based operation. Thus, a match between a prerequisite of a user and a role that corresponds to that prerequisite can improve through iterations of the routine 500.
Machine learning techniques can be utilized such that future iterations of the routine 500 can improve upon the discovery and selection of each assistant. Users can provide feedback to the system by approving or denying each selected assistant, e.g., they may be rated. That feedback can be used to refine the process of selecting one or more assistants in each iteration of the routine.
At operation 507, the system can cause the persistent display of a selected assistant. In some configurations, the system can cause a display of a rendering of a video stream 151A of the at least one select user 10A within a designated region 120A of a user interface 101A rendered on a device 11J associated with the user 10J having the at least one prerequisite 410A that corresponds stream of the at least one select user is not displayed on display devices of other users, e.g., User 10A through User 10I and User 10L, that do not have the prerequisite that corresponds to the role of the at least one select user. Thus, the persistent display of a selected assistant may only be displayed for users having prerequisites that correspond to a role of the selected assistant, and other users not having prerequisites that correspond to a role of the selected assistant are restricted from a persistent display of an assistant. Thus, in the example of
For illustrative purposes, a “persistent display” of a video remains displayed in the event of a first category of state changes and a second category of state changes of the communication session. A first category of state changes can include the detection of an active speaker, detection of a user joining a meeting, detection of a user leaving a meeting, etc. A second category of state changes can include the detection of low bandwidth of the communication session. A detection of low bandwidth of the communication session can occur when one or more of the computers 11 detects a network connection that falls below a threshold network transfer rate. The second category of state changes can also include the detection of shared content. This can occur when a participant of a meeting shares content for display on the computing devices of other participants.
The video streams that are selected for a regular pin may be restricted from being moved, resized or removed, in the event of a state change from the first category of state changes. However, the video streams that are selected for a regular pin may be moved, resized or removed in the event of a state change from the second category of state changes. A regular pin may also include videos that are “spotlighted.” Spotlighting of a video occurs when a person selects a video and that selection from one user pins that video on the devices of other users. Thus, if User J spotlights a video of User G, the video of User G would be pinned in a fixed position in the secondary stage on the computing devices of other participants in the communication session. When spotlighting videos are detected, the system prioritizes a video that is super pinned over a video that is spotlighted. Thus, the system restricts a super pinned video from being moved, resized or removed from a user interface when a spotlighted video is introduce to that user interface, where a super pinned video is a video of an assistant that is displayed in response to determining that the assistant has a role that corresponds to a prerequisite of a user viewing the user interface.
The system can also display multiple assistants for a particular user. For instance, two sign language interpreters can be assigned to User J. This can occur if the user preferences indicate the need for two sign language interpreters. In this case, the primary stage would be populated with two video renderings and each video rendering would be persistently displayed. These video renderings would not be interrupted by the state changes described herein, including the detection of active speakers, the detection of new people joining a meeting, the detection of low bandwidth, and the detection of content sharing.
In some configurations, the system can limit the number of assistants a particular user may have. For instance, even when a user has prerequisites for three sigh language interpreters, the system can be configured to limit the display to two sigh language interpreters. This limitation provides a technical benefit in the fact that the system can maintain a persistent display of each assistant at a suitable size. In some embodiments, the limit may vary based on the device type or a screen size. For instance, for a desktop computer, the limit may be three assistants but for a smaller device such as a tablet or a phone, limit maybe two assistants.
At operation 509, upon conclusion of the communication session, e.g., after the end of a meeting, the routine can enter a wait state until the user, e.g., User J, joins another meeting. At which time the routine returns to operation 501 where another user is selected as an assistant.
For illustrative purposes, the persistent display of a select video can also mean that a video is not moved and/or resized beyond a threshold level. Thus, a persistent display of a video can be moved but not beyond a threshold distance, or a persistent display of a video can be resized but not below a threshold size. This means that a persistent display of a video can be reduced but the reduction is limited. The reduction limit can be a percent of a screen, e.g., not less than 50% of a screen or user interface. The reduction limit can include a limit of a pixel measurement or any other type of limit that maintains a desired size of the persistent rendering.
In some embodiments, some renderings are restricted from movement. For illustrative purposes, a rendering that is “moved” in response to the detection of a state change includes moving the rendering from a first position to a second position. This can include selecting a point in the rendering, e.g., the lower left corner of a video rendering, determining a position (X, Y) for that point using a coordinate system, then moving that point to a new position. Thus, when a rendering is restricted from moving, a selected point of that rendering may be restricted from moving from a first position to a second position. Thus, a rendering can be resized, e.g., a number of pixels can be reduced, but the rendering can be restricted from moving with respect to the selected point, e.g., the lower left corner remains fixed in its original position. When it comes to a rendering of an assistant, e.g., a person having a role that corresponds to a prerequisite of a viewer, that video can be reduced in size to a minimum size but not be reduced beyond that minimum size.
The one or more of the operations described above can also include a data structure having a hierarchy of preferences (stack/level) where the viewer can select a first set of participants (“super pin” for a language interpreter) that are locked within the primary stage. The viewer can also select a second set of participants (regular “pin”) that are locked within a secondary stage. The participants with the regular pin are locked in position when other people who are talking are rotated in the secondary stage. But the participants with the regular pin can be moved or removed in response to certain events, e.g., low bandwidth, shared content, etc.
The operations can include accessing a data structure (201) (user settings) defining individual priority levels assigned to individual groups (110) of participants (11) of one or more communication sessions, access to the data structure persisting across multiple communication sessions, wherein a first priority level causes the system (100) to display renderings of a first set of participants (110A) (interpreters) having a designated role within a first designated region (120A) of a user interface (101), the data structure defining permissions that restrict movement of the renderings of the first set of participants (110A) within the first designated region (120A) in response to a state change of the communication session (interpreter locked in state change: low bandwidth meeting), a second priority level causes the system to display renderings of a second set of participants (110B) within a second designated region (120B), wherein the permissions allow movement or to be removed of the renderings of the second set of participants (110B) within the second designated region (120B) in response to the state change of the communication session (Regular Pinned users can move or be removed in state change: low bandwidth), the permissions restricting movement of the renderings of the second set of participants (110B) during other state changes Regular Pinned users can be moved based on user activity: active speaker being promoted, etc. Also, in some embodiments, regular pinned videos are smaller than a video of super pinned videos, e.g., an interpreter. Regular pinned individuals, including spotlight videos, do not persist over different meetings. Regular pinned videos are set by the user in each meeting.
The operations also include causing a display of a first user interface arrangement (101A) comprising a rendering of the first set of participants (110A) having the first priority level, a rendering of the second set of participants (110B) having the second priority level, and a rendering of other participants (110C), wherein the rendering of the first set of participants (110A) is positioned in the first designated region (120A) and the second set of participants (110B) is positioned in the second designated region (120B), and renderings of the other participants (110C) are positioned in the second designated region (120B). This is shown in the drawings as Sign Language Interpreter who is “super pinned” is in the primary stage 120A, other users who are pinned are in the secondary stage 120B.
The operations also include receiving an input indicating the state change of the communication session, wherein the state change includes at least one of at least one participant sharing content for display on devices of the participants (11) of a communication session or an indication that bandwidth of the communication session is below a bandwidth threshold.
The operations also include using the permissions of the data structure (201) to cause a transition from the first user interface arrangement (101A) to a second user interface arrangement (101B) comprising the rendering of the first set of participants (110A) having the first priority level, wherein a rendering of a first participant (151A) of the first set of participants (110A) is maintained to at least a threshold size within the first designated region (120A), wherein the rendering of the second set of participants (110B) and the renderings of the other participants (110C) are resized to accommodate the state change (content 201 displayed
Generally, computer-executable instructions include routines, programs, objects, modules, components, data structures, and the like that perform particular functions or implement particular abstract data types. The order in which the operations are described is not intended to be construed as a limitation, and any number of the described operations can be executed in any order, combined in any order, subdivided into multiple sub-operations, and/or executed in parallel to implement the described processes. The described processes can be performed by resources associated with one or more device(s) such as one or more internal or external CPUs or GPUs, and/or one or more pieces of hardware logic such as field-programmable gate arrays (“FPGAs”), digital signal processors (“DSPs”), or other types of accelerators.
All of the methods and processes described above may be embodied in, and fully automated via, software code modules executed by one or more general purpose computers or processors. The code modules may be stored in any type of computer-readable storage medium or other computer storage device, such as those described below. Some or all of the methods may alternatively be embodied in specialized computer hardware, such as that described below.
Any routine descriptions, elements or blocks in the flow diagrams described herein and/or depicted in the attached figures should be understood as potentially representing modules, segments, or portions of code that include one or more executable instructions for implementing specific logical functions or elements in the routine. Alternate implementations are included within the scope of the examples described herein in which elements or functions may be deleted, or executed out of order from that shown or discussed, including substantially synchronously or in reverse order, depending on the functionality involved as would be understood by those skilled in the art.
In some implementations, a system 602 may function to collect, analyze, and share data that is displayed to users of a communication session 604. As illustrated, the communication session 603 may be implemented between a number of client computing devices 606(1) through 606(N) (where N is a number having a value of two or greater) that are associated with or are part of the system 602. The client computing devices 606(1) through 606(N) enable users, also referred to as individuals, to participate in the communication session 603.
In this example, the communication session 603 is hosted, over one or more network(s) 608, by the system 602. That is, the system 602 can provide a service that enables users of the client computing devices 606(1) through 606(N) to participate in the communication session 603 (e.g., via a live viewing and/or a recorded viewing). Consequently, a “participant” to the communication session 603 can comprise a user and/or a client computing device (e.g., multiple users may be in a room participating in a communication session via the use of a single client computing device), each of which can communicate with other participants. As an alternative, the communication session 603 can be hosted by one of the client computing devices 606(1) through 606(N) utilizing peer-to-peer technologies. The system 602 can also host chat conversations and other team collaboration functionality (e.g., as part of an application suite).
In some implementations, such chat conversations and other team collaboration functionality are considered external communication sessions distinct from the communication session 603. A computing system 602 that collects participant data in the communication session 603 may be able to link to such external communication sessions. Therefore, the system may receive information, such as date, time, session particulars, and the like, that enables connectivity to such external communication sessions. In one example, a chat conversation can be conducted in accordance with the communication session 603. Additionally, the system 602 may host the communication session 603, which includes at least a plurality of participants co-located at a meeting location, such as a meeting room or auditorium, or located in disparate locations.
In examples described herein, client computing devices 606(1) through 606(N) participating in the communication session 603 are configured to receive and render for display, on a user interface of a display screen, communication data. The communication data can comprise a collection of various instances, or streams, of live content and/or recorded content. The collection of various instances, or streams, of live content and/or recorded content may be provided by one or more cameras, such as video cameras. For example, an individual stream of live or recorded content can comprise media data associated with a video feed provided by a video camera (e.g., audio and visual data that capture the appearance and speech of a user participating in the communication session). In some implementations, the video feeds may comprise such audio and visual data, one or more still images, and/or one or more avatars. The one or more still images may also comprise one or more avatars.
Another example of an individual stream of live or recorded content can comprise media data that includes an avatar of a user participating in the communication session along with audio data that captures the speech of the user. Yet another example of an individual stream of live or recorded content can comprise media data that includes a file displayed on a display screen along with audio data that captures the speech of a user. Accordingly, the various streams of live or recorded content within the communication data enable a remote meeting to be facilitated between a group of people and the sharing of content within the group of people. In some implementations, the various streams of live or recorded content within the communication data may originate from a plurality of co-located video cameras, positioned in a space, such as a room, to record or stream live a presentation that includes one or more individuals presenting and one or more individuals consuming presented content.
A participant or attendee can view content of the communication session 603 live as activity occurs, or alternatively, via a recording at a later time after the activity occurs. In the examples described herein, client computing devices 606(1) through 606(N) participating in the communication session 603 are configured to receive and render for display, on a user interface of a display screen, communication data. The communication data can comprise a collection of various instances, or streams, of live and/or recorded content. For example, an individual stream of content can comprise media data associated with a video feed (e.g., audio and visual data that capture the appearance and speech of a user participating in the communication session). Another example of an individual stream of content can comprise media data that includes an avatar of a user participating in the conference session along with audio data that captures the speech of the user. Yet another example of an individual stream of content can comprise media data that includes a content item displayed on a display screen and/or audio data that captures the speech of a user. Accordingly, the various streams of content within the communication data enable a meeting or a broadcast presentation to be facilitated amongst a group of people dispersed across remote locations.
A participant or attendee to a communication session is a person that is in range of a camera, or other image and/or audio capture device such that actions and/or sounds of the person which are produced while the person is viewing and/or listening to the content being shared via the communication session can be captured (e.g., recorded). For instance, a participant may be sitting in a crowd viewing the shared content live at a broadcast location where a stage presentation occurs. Or a participant may be sitting in an office conference room viewing the shared content of a communication session with other colleagues via a display screen. Even further, a participant may be sitting or standing in front of a personal device (e.g., tablet, smartphone, computer, etc.) viewing the shared content of a communication session alone in their office or at home.
The system 602 of
Network(s) 608 may include, for example, public networks such as the Internet, private networks such as an institutional and/or personal intranet, or some combination of private and public networks. Network(s) 608 may also include any type of wired and/or wireless network, including but not limited to local area networks (“LANs”), wide area networks (“WANs”), satellite networks, cable networks, Wi-Fi networks, WiMax networks, mobile communications networks (e.g., 3G, 4G, and so forth) or any combination thereof. Network(s) 608 may utilize communications protocols, including packet-based and/or datagram-based protocols such as Internet protocol (“IP”), transmission control protocol (“TCP”), user datagram protocol (“UDP”), or other types of protocols. Moreover, network(s) 608 may also include a number of devices that facilitate network communications and/or form a hardware basis for the networks, such as switches, routers, gateways, access points, firewalls, base stations, repeaters, backbone devices, and the like.
In some examples, network(s) 608 may further include devices that enable connection to a wireless network, such as a wireless access point (“WAP”). Examples support connectivity through WAPs that send and receive data over various electromagnetic frequencies (e.g., radio frequencies), including WAPs that support Institute of Electrical and Electronics Engineers (“IEEE”) 802.11 standards (e.g., 802.11g, 802.11n, 802.11ac and so forth), and other standards.
In various examples, device(s) 610 may include one or more computing devices that operate in a cluster or other grouped configuration to share resources, balance load, increase performance, provide fail-over support or redundancy, or for other purposes. For instance, device(s) 610 may belong to a variety of classes of devices such as traditional server-type devices, desktop computer-type devices, and/or mobile-type devices. Thus, although illustrated as a single type of device or a server-type device, device(s) 610 may include a diverse variety of device types and are not limited to a particular type of device. Device(s) 610 may represent, but are not limited to, server computers, desktop computers, web-server computers, personal computers, mobile computers, laptop computers, tablet computers, or any other sort of computing device.
A client computing device (e.g., one of client computing device(s) 606(1) through 606(N)) (each of which are also referred to herein as a “data processing system”) may belong to a variety of classes of devices, which may be the same as, or different from, device(s) 610, such as traditional client-type devices, desktop computer-type devices, mobile-type devices, special purpose-type devices, embedded-type devices, and/or wearable-type devices. Thus, a client computing device can include, but is not limited to, a desktop computer, a game console and/or a gaming device, a tablet computer, a personal data assistant (“PDA”), a mobile phone/tablet hybrid, a laptop computer, a telecommunication device, a computer navigation type client computing device such as a satellite-based navigation system including a global positioning system (“GPS”) device, a wearable device, a virtual reality (“VR”) device, an augmented reality (“AR”) device, an implanted computing device, an automotive computer, a network-enabled television, a thin client, a terminal, an Internet of Things (“IoT”) device, a work station, a media player, a personal video recorder (“PVR”), a set-top box, a camera, an integrated component (e.g., a peripheral device) for inclusion in a computing device, an appliance, or any other sort of computing device. Moreover, the client computing device may include a combination of the earlier listed examples of the client computing device such as, for example, desktop computer-type devices or a mobile-type device in combination with a wearable device, etc.
Client computing device(s) 606(1) through 606(N) of the various classes and device types can represent any type of computing device having one or more data processing unit(s) 692 operably connected to computer-readable media 694 such as via a bus 616, which in some instances can include one or more of a system bus, a data bus, an address bus, a PCI bus, a Mini-PCI bus, and any variety of local, peripheral, and/or independent buses.
Executable instructions stored on computer-readable media 694 may include, for example, an operating system 619, a client module 620, a profile module 622, and other modules, programs, or applications that are loadable and executable by data processing units(s) 692.
Client computing device(s) 606(1) through 606(N) may also include one or more interface(s) 624 to enable communications between client computing device(s) 606(1) through 606(N) and other networked devices, such as device(s) 610, over network(s) 608. Such network interface(s) 624 may include one or more network interface controllers (NICs) or other types of transceiver devices to send and receive communications and/or data over a network. Moreover, client computing device(s) 606(1) through 606(N) can include input/output (“I/O”) interfaces (devices) 626 that enable communications with input/output devices such as user input devices including peripheral input devices (e.g., a game controller, a keyboard, a mouse, a pen, a voice input device such as a microphone, a video camera for obtaining and providing video feeds and/or still images, a touch input device, a gestural input device, and the like) and/or output devices including peripheral output devices (e.g., a display, a printer, audio speakers, a haptic output device, and the like).
In the example environment 600 of
The client computing device(s) 606(1) through 606(N) may use their respective profile modules 622 to generate participant profiles (not shown in
As shown in
In various examples, the server module 630 can select aspects of the media streams 634 that are to be shared with individual ones of the participating client computing devices 606(1) through 606(N). Consequently, the server module 630 may be configured to generate session data 636 based on the streams 634 and/or pass the session data 636 to the output module 632. Then, the output module 632 may communicate communication data 639 to the client computing devices (e.g., client computing devices 606(1) through 606(3) participating in a live viewing of the communication session). The communication data 639 may include video, audio, and/or other content data, provided by the output module 632 based on content 650 associated with the output module 632 and based on received session data 636. The content 650 can include the streams 634 or other shared data, such as an image file, a spreadsheet file, a slide deck, a document, etc. The streams 634 can include a video component depicting images captured by an I/O device 626 on each client computer. The content 650 also include input data from each user, which can be used to control a direction and location of a representation. The content can also include instructions for sharing data and identifiers for recipients of the shared data. Thus, the content 650 is also referred to herein as input data 650 or an input 650.
As shown, the output module 632 transmits communication data 639(1) to client computing device 606(1), and transmits communication data 639(2) to client computing device 606(2), and transmits communication data 639(3) to client computing device 606(3), etc. The communication data 639 transmitted to the client computing devices can be the same or can be different (e.g., positioning of streams of content within a user interface may vary from one device to the next).
In various implementations, the device(s) 610 and/or the client module 620 can include GUI presentation module 640. The GUI presentation module 640 may be configured to analyze communication data 639 that is for delivery to one or more of the client computing devices 606. Specifically, the UI presentation module 640, at the device(s) 610 and/or the client computing device 606, may analyze communication data 639 to determine an appropriate manner for displaying video, image, and/or content on the display screen 629 of an associated client computing device 606. In some implementations, the GUI presentation module 640 may provide video, image, and/or content to a presentation GUI 646 rendered on the display screen 629 of the associated client computing device 606. The presentation GUI 646 may be caused to be rendered on the display screen 629 by the GUI presentation module 640. The presentation GUI 646 may include the video, image, and/or content analyzed by the GUI presentation module 640.
In some implementations, the presentation GUI 646 may include a plurality of sections or grids that may render or comprise video, image, and/or content for display on the display screen 629. For example, a first section of the presentation GUI 646 may include a video feed of a presenter or individual, a second section of the presentation GUI 646 may include a video feed of an individual consuming meeting information provided by the presenter or individual. The GUI presentation module 640 may populate the first and second sections of the presentation GUI 646 in a manner that properly imitates an environment experience that the presenter and the individual may be sharing.
In some implementations, the GUI presentation module 640 may enlarge or provide a zoomed view of the individual represented by the video feed in order to highlight a reaction, such as a facial feature, the individual had to the presenter. In some implementations, the presentation GUI 646 may include a video feed of a plurality of participants associated with a meeting, such as a general communication session. In other implementations, the presentation GUI 646 may be associated with a channel, such as a chat channel, enterprise Teams channel, or the like. Therefore, the presentation GUI 646 may be associated with an external communication session that is different from the general communication session.
As illustrated, the device 700 includes one or more data processing unit(s) 702, computer-readable media 704, and communication interface(s) 706. The components of the device 700 are operatively connected, for example, via a bus 709, which may include one or more of a system bus, a data bus, an address bus, a PCI bus, a Mini-PCI bus, and any variety of local, peripheral, and/or independent buses.
As utilized herein, data processing unit(s), such as the data processing unit(s) 702 and/or data processing unit(s) 692, may represent, for example, a CPU-type data processing unit, a GPU-type data processing unit, a field-programmable gate array (“FPGA”), another class of DSP, or other hardware logic components that may, in some instances, be driven by a CPU. For example, and without limitation, illustrative types of hardware logic components that may be utilized include Application-Specific Integrated Circuits (“ASICs”), Application-Specific Standard Products (“ASSPs”), System-on-a-Chip Systems (“SOCs”), Complex Programmable Logic Devices (“CPLDs”), etc.
As utilized herein, computer-readable media, such as computer-readable media 704 and computer-readable media 694, may store instructions executable by the data processing unit(s). The computer-readable media may also store instructions executable by external data processing units such as by an external CPU, an external GPU, and/or executable by an external accelerator, such as an FPGA type accelerator, a DSP type accelerator, or any other internal or external accelerator. In various examples, at least one CPU, GPU, and/or accelerator is incorporated in a computing device, while in some examples one or more of a CPU, GPU, and/or accelerator is external to a computing device.
Computer-readable media, which might also be referred to herein as a computer-readable medium, may include computer storage media and/or communication media. Computer storage media may include one or more of volatile memory, nonvolatile memory, and/or other persistent and/or auxiliary computer storage media, removable and non-removable computer storage media implemented in any method or technology for storage of information such as computer-readable instructions, data structures, program modules, or other data. Thus, computer storage media includes tangible and/or physical forms of media included in a device and/or hardware component that is part of a device or external to a device, including but not limited to random access memory (“RAM”), static random-access memory (“SRAM”), dynamic random-access memory (“DRAM”), phase change memory (“PCM”), read-only memory (“ROM”), erasable programmable read-only memory (“EPROM”), electrically erasable programmable read-only memory (“EEPROM”), flash memory, compact disc read-only memory (“CD-ROM”), digital versatile disks (“DVDs”), optical cards or other optical storage media, magnetic cassettes, magnetic tape, magnetic disk storage, magnetic cards or other magnetic storage devices or media, solid-state memory devices, storage arrays, network attached storage, storage area networks, hosted computer storage or any other storage memory, storage device, and/or storage medium that can be used to store and maintain information for access by a computing device. The computer storage media can also be referred to herein as computer-readable storage media, non-transitory computer-readable storage media, non-transitory computer-readable medium, computer-readable storage medium, computer-readable storage device, or computer storage medium.
In contrast to computer storage media, communication media may embody computer-readable instructions, data structures, program modules, or other data in a modulated data signal, such as a carrier wave, or other transmission mechanism. As defined herein, computer storage media does not include communication media. That is, computer storage media does not include communications media consisting solely of a modulated data signal, a carrier wave, or a propagated signal, per se.
Communication interface(s) 706 may represent, for example, network interface controllers (“NICs”) or other types of transceiver devices to send and receive communications over a network. Furthermore, the communication interface(s) 706 may include one or more video cameras and/or audio devices 722 to enable generation of video feeds and/or still images, and so forth.
In the illustrated example, computer-readable media 704 includes a data store 708. In some examples, the data store 708 includes data storage such as a database, data warehouse, or other type of structured or unstructured data storage. In some examples, the data store 708 includes a corpus and/or a relational database with one or more tables, indices, stored procedures, and so forth to enable data access including one or more of hypertext markup language (“HTML”) tables, resource description framework (“RDF”) tables, web ontology language (“OWL”) tables, and/or extensible markup language (“XML”) tables, for example.
The data store 708 may store data for the operations of processes, applications, components, and/or modules stored in computer-readable media 704 and/or executed by data processing unit(s) 702 and/or accelerator(s). For instance, in some examples, the data store 708 may store session data 710 (e.g., session data 636 as shown in
Alternately, some or all of the above-referenced data can be stored on separate memories 716 on board one or more data processing unit(s) 702 such as a memory on board a CPU-type processor, a GPU-type processor, an FPGA-type accelerator, a DSP-type accelerator, and/or another accelerator. In this example, the computer-readable media 704 also includes an operating system 718 and application programming interface(s) 710 (APIs) configured to expose the functionality and the data of the device 700 to other devices. Additionally, the computer-readable media 704 includes one or more modules such as the server module 730, the output module 732, and the GUI presentation module 740, although the number of illustrated modules is just an example, and the number may vary. That is, functionality described herein in association with the illustrated modules may be performed by a fewer number of modules or a larger number of modules on one device or spread across multiple devices.
The following Clauses are to further the present disclosure:
In closing, although the various configurations have been described in language specific to structural features and/or methodological acts, it is to be understood that the subject matter defined in the appended representations is not necessarily limited to the specific features or acts described. Rather, the specific features and acts are disclosed as example forms of implementing the claimed subject matter.