Abstract
A technique is proposed for summarizing meetings to help distracted participants transition back into conversations during video conferences. Processing logic may receive, from a video conferencing platform, a video file including multiple frames and audio. The processing logic may determine a period of time where a participant is distracted based on the participant’s body movement, eye movement, and camera settings. This determination can be made using a machine learning model. The processing logic can also generate a summary of the meeting based on received voice input, chat comments, and participant expressions. This summary may be generated using a generative artificial intelligence model. The processing logic can send a summary of the meeting to a participant for the time period during which they were distracted. This results in helping distracted participants integrate back into the conversation more easily during a video conference.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Hasan, Shiblee and Bryan, Kathleen, "Meeting Summarization and Alerts for Video Conference Participants", Technical Disclosure Commons, (November 17, 2023)
https://www.tdcommons.org/dpubs_series/6425