User Status Detection in Conferencing Endpoints
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Solution Overview
Problem
Current video conferencing systems lack the ability to accurately detect user status, such as attentiveness or distractions, and provide this information to participants without compromising privacy, as they rely solely on audio and video streams without real-time environmental context.
Innovation Solution
A computer-implemented method that gathers metrics from conferencing endpoint components, determines status indicator values, and combines them to estimate user status, which is then presented to other users, using a user status detector that includes a metric monitor, comparator, user status model, and filter to ensure privacy compliance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If video conferencing systems rely solely on audio and video streams to detect user status, then the system complexity remains low, but the measurement precision of user status (attentiveness, distractions) is insufficient
Solution Approach 1:
The system segments user status detection into multiple independent components: a camera subsystem for visual status detection, an audio subsystem for audio-based status detection, and a processor that integrates these segmented measurements. Each subsystem focuses on specific aspects of user status, allowing precise measurement without requiring a monolithic complex system.
Solution Approach 2:
The conferencing endpoint is designed with multi-functionality, where the same endpoint handles both traditional audio-video communication and the additional function of comprehensive user status detection. The processor serves dual purposes: processing audio-video streams and analyzing status indicators from multiple sources, thereby achieving precise measurement without proportionally increasing system complexity.
2Productivity
If the system provides real-time user status information to all participants, then communication effectiveness improves, but user privacy may be compromised
Solution Approach 1:
The system applies local quality by providing user status information selectively rather than uniformly to all participants. The processor determines which status indicators are appropriate to share based on the specific user, meeting context, and privacy settings, allowing communication effectiveness to improve where needed while protecting privacy where required.
Solution Approach 2:
The processor acts as an intermediary between the status detection subsystems and the participants. It filters, interprets, and selectively presents status information, mediating between the need for communication effectiveness and the need to protect user privacy. The intermediary function allows the system to provide useful status information while maintaining appropriate privacy boundaries.
3Adaptability or versatility
If multiple status indicator components are integrated into the conferencing endpoint, then the adaptability of the system to various conferencing scenarios improves, but the device complexity increases
Solution Approach 1:
The system merges multiple status indicator components (camera, audio sensors, processing units) into a single integrated conferencing endpoint. By combining these functions in one device rather than requiring separate systems, the endpoint achieves high adaptability to various conferencing scenarios while the complexity is consolidated and managed within a single unit.
Data Source
AI summary
A computer implemented method includes gathering metrics from components of a conferencing endpoint in a conference call, and determining status indicator values according to the metrics. The status indicator values each identify a component status of a component. The status indicator values are combined to estimate a user status. The computer implemented method further includes generating a description of a user status of a target user with respect to the conference call, and presenting the description of the user status.