Virtual Collaboration Feed Segmentation for Focused Participant Monitoring
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Solution Overview
Problem
Conventional collaboration software lacks the ability for a single moderator to efficiently monitor multiple participants by viewing both video and screen activity simultaneously, and it often distracts participants by sharing screens with everyone, making it difficult to gauge engagement through facial recognition.
Innovation Solution
A system that allows a moderator to view and receive real-time feedback on multiple participants' video and screen feeds, including facial expressions and the number of faces detected, while ensuring participants only see the moderator's screen and video, using client-side facial detection to reduce server computational load and bandwidth.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional collaboration software allows screen sharing to be viewed by all participants, then everyone can see the shared content, but it creates distraction and reduces focus on individual participants' video and screen activity
Solution Approach 1:
The patent segments the screen sharing functionality by creating separate video feeds: a first video feed showing the moderator's screen sharing content and a second video feed showing individual participant screens. This segmentation allows the screen sharing to be delivered selectively to moderators while keeping participant screens private, thereby maintaining the versatility of screen sharing while eliminating the distraction problem for participants.
2Reliability
If conventional software allows one-on-one collaboration between moderator and participant, then detailed monitoring is possible, but it cannot efficiently scale to monitor multiple participants simultaneously
Solution Approach 1:
The patent merges multiple individual monitoring channels into a single integrated view for the moderator. By combining the moderator's own video feed, the first video feed (moderator's screen sharing), and the second video feed (individual participant screens) into one unified interface, the system enables reliable monitoring of multiple participants simultaneously without sacrificing the detailed view provided by one-on-one collaboration.
3Loss of information
If the system provides detailed video and screen feeds for each participant, then comprehensive monitoring is achieved, but it increases server computational load and bandwidth requirements
Solution Approach 1:
The patent extracts and processes only the essential information from each participant's video and screen feeds at the client side before transmission to the server. By performing facial recognition and engagement analysis locally on participant devices, the system maintains comprehensive monitoring capabilities while significantly reducing the amount of data that needs to be transmitted and processed by the server, thereby lowering computational load and bandwidth requirements.
Data Source
AI summary
Systems and methods for sharing data streams in a virtual collaboration room. The method includes receiving a user video data stream from a user device for display to one or more other participants in the virtual collaboration environment and receiving a user screen sharing data stream from the user device for display to the one or more other participants in the collaboration environment. The method further includes providing a participant video data stream and a participant screen sharing data stream associated with each participant of the one or more other participants in the collaboration environment to the user device, the data streams associated with each participant configured for simultaneous display with each other participant data stream at the user device and simultaneous display with the user video data stream and the user screen sharing data stream to the one or more other participants.