Concurrent engagement with live content of multiple conference sessions
US-10547654-B2 · Jan 28, 2020 · US
US11848792B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-11848792-B2 |
| Application number | US-202217657697-A |
| Country | US |
| Kind code | B2 |
| Filing date | Apr 1, 2022 |
| Priority date | Jun 30, 2021 |
| Publication date | Dec 19, 2023 |
| Grant date | Dec 19, 2023 |
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Methods, computer systems, and computer-storage media, and graphical user interfaces are provided for facilitating efficient meeting management, according to embodiments of the present technology. In one embodiment, engagement data associated with an attendee of an online meeting is obtained. Thereafter, an engagement metric is generated using the engagement data, the engagement metric indicating an extent of engagement of the attendee to the online meeting. Based on the engagement metric indicating that the extent of engagement of the attendee to the online meeting falls below an engagement threshold, a request is provided to disconnect or throttle an audio and/or video stream of the online meeting to and/or from an attendee device associated with the attendee of the online meeting. Efficient meeting management may also be performed by clustering related messages.
Opening claim text (preview).
What is claimed is: 1. A computing system comprising: one or more processors; and one or more non-transitory computer-readable storage media, coupled with the one or more processors, having instructions stored thereon, which, when executed by the one or more processors, cause the computing system to perform operations comprising: obtaining engagement data associated with an attendee of an online meeting by monitoring data associated with the attendee of the online meeting; generating, via a machine learned model, an engagement metric using the engagement data, the engagement metric indicating an extent of engagement of the attendee to the online meeting; obtaining connection data associated with the attendee of the online meeting, the connection data indicating signal strength of a device of the attendee with the online meeting; and based on the engagement metric indicating that the extent of engagement of the attendee to the online meeting falls below an engagement threshold and the connection data indicating the signal strength of the device of the attendee is above a connection threshold, automatically providing a request to regulate a media stream of the online meeting associated with the attendee of the online meeting, wherein the request initiates the regulation of the media stream by disconnecting or throttling of an audio and/or a video of the media stream of the online meeting. 2. The computing system of claim 1 , wherein the engagement data comprises interaction data, distraction data, emotion data, influx/outflux data, and/or additional connection data. 3. The computing system of claim 1 , wherein the machine learned model is a heuristic model. 4. The computing system of claim 1 , wherein the engagement metric is generated by weighting each type of engagement data of the engagement data. 5. The computing system of claim 1 , wherein the request further provides a recommendation to disconnect or throttle the audio and/or the video of the media stream of the online meeting. 6. The computing system of claim 1 , wherein the engagement metric is generated by: generating a first engagement score using a first type of engagement data; determining the first engagement score indicates a low engagement of the attendee in relation to the first type of engagement data; and based on the first engagement score indicating the low engagement of the attendee, generating a second engagement score using a second type of engagement data associated with the attendee. 7. The computing system of claim 1 , further comprising providing, to a moderator device, a second engagement metric providing an insight related to content, delivery of the content, and/or trainings for an instructor. 8. The computing system of claim 1 , further comprising providing, to a moderator device, an indication of the engagement metric associated with the attendee. 9. A computer-implemented method, the method comprising: obtaining engagement data associated with an attendee of an online meeting by monitoring data associated with the attendee of the online meeting; generating, via a machine learned model, an engagement metric using the engagement data, the engagement metric indicating an extent of engagement of the attendee to the online meeting; obtaining connection data associated with the attendee of the online meeting, the connection data indicating signal strength of a device of the attendee with the online meeting; and based on the engagement metric indicating that the extent of engagement of the attendee to the online meeting falls below an engagement threshold and the connection data indicating the signal strength of the device of the attendee is above a connection threshold, automatically providing a request to regulate a media stream of the online meeting associated with the attendee of the online meeting, wherein the request initiates the regulation of the media stream by disconnecting or throttling of an audio and/or a video of the media stream of the online meeting. 10. The method of claim 9 , wherein the engagement metric is generated by weighting each type of engagement data of the engagement data. 11. The computing system of claim 9 , wherein the request further provides a recommendation to disconnect or throttle the audio and/or the video of the media stream of the online meeting. 12. The method of claim 9 , wherein the engagement metric is generated by: generating a first engagement score using a first type of engagement data; determining the first engagement score indicates a low engagement of the attendee in relation to the first type of engagement data; and based on the first engagement score indicating the low engagement of the attendee, generating a second engagement score using a second type of engagement data associated with the attendee. 13. The method of claim 9 , further comprising providing, to a moderator device, a second engagement metric providing an insight related to content, delivery of the content, and/or trainings for an instructor. 14. The method of claim 9 , further comprising providing, to a moderator device, an indication of the engagement metric associated with the attendee. 15. One or more computer storage media having computer-executable instructions embodied thereon that, when executed by one or more processors, cause the one or more processors to perform a method for facilitating meeting management, the method comprising: obtaining engagement data associated with an attendee of an online meeting by monitoring data associated with the attendee of the online meeting; generating, via a machine learned model, an engagement metric using the engagement data, the engagement metric indicating an extent of engagement of the attendee to the online meeting; obtaining connection data associated with the attendee of the online meeting, the connection data indicating signal strength of a device of the attendee with the online meeting; and based on the engagement metric indicating that the extent of engagement of the attendee to the online meeting falls below an engagement threshold and the connection data indicating the signal strength of the device of the attendee is above a connection threshold, automatically providing a request to regulate a media stream of the online meeting associated with the attendee of the online meeting, wherein the request initiates the regulation of the media stream by disconnecting or throttling of an audio and/or a video of the media stream of the online meeting. 16. The media of claim 15 , wherein the engagement metric is generated by weighting each type of engagement data of the engagement data. 17. The media of claim 15 , wherein the request further provides a recommendation to disconnect or throttle the audio and/or the video of the media stream of the online meeting. 18. The media of claim 15 , wherein the engagement metric is generated by: generating a first engagement score using a first type of engagement data; determining the first engagement score indicates a low engagement of the attendee in relation to the first type of engagement data; and based on the first engagement score indicating the low engagement of the attendee, generating a second engagement score using a second type of engagement data associated with the attendee. 19. The media of claim 15 , further comprising providing, to a moderator device, a second engagement metric providing an insight related to content, delivery of the content, and/or trainings for an instructor. 20. The media of claim 15 , f
Network arrangements for conference optimisation or adaptation · CPC title
Conducting the conference, e.g. admission, detection, selection or grouping of participants, correlating users to one or more conference sessions, prioritising transmission · CPC title
Tracking arrangements for later retrieval, e.g. recording contents, participants activities or behavior, network status · CPC title
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