Video Conference Event Notification System
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Solution Overview
Problem
In video teleconferencing, it is challenging for participants to stay informed about events of interest, such as key topics or speakers, especially in large, geographically dispersed meetings where full attention cannot be devoted to the entire conference.
Innovation Solution
A system that analyzes video and audio data to detect events of interest and sends notifications to end users based on their selected topics and speakers of interest, using a tag cloud to represent popularity and interest levels, allowing users to select notifications through various input methods and devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If users attend video conferences physically or virtually, then they can participate in discussions and interactions, but they cannot devote full attention to all events of interest due to the large number of participants and topics
Solution Approach 1:
The system extracts and isolates specific events of interest from the overall video conference stream. Users can select particular speakers, topics, or keywords they want to monitor, and the system separately tracks and notifies them about these specific events without requiring users to pay attention to the entire conference
Solution Approach 2:
The system provides feedback to users about events of interest through notifications. When a selected speaker speaks, a topic is discussed, or a keyword is mentioned, the system detects these events and sends notifications back to users, allowing them to stay informed about specific events without continuous attention
2Loss of information
If the system notifies users about all events in the video conference, then users stay informed, but users receive excessive notifications about irrelevant events
Solution Approach 1:
The system applies local quality by allowing users to customize their notification preferences for different aspects of the conference. Users can select specific speakers, topics, or keywords they are interested in, and the system tailors notifications to match these individual preferences, ensuring each user receives only relevant information
3Loss of information
If users actively monitor all speakers and topics, then they capture all events of interest, but users experience increased cognitive load and fatigue
Solution Approach 1:
The system performs self-service by automatically monitoring all speakers, topics, and content in the video conference. The system detects events of interest and filters them according to user preferences without requiring active user engagement or cognitive effort, making the information gathering process automatic and effortless
Data Source
AI summary
A computer implemented method is disclosed, the method including but not limited to detecting an event of interest in video conference data for a plurality of video conference participants and notifying an end user of the event of interest. A computer readable medium is also disclosed for containing a computer program for performing the method. A computer implemented method is also disclosed for receiving at an end user device, a notification of an event of interest in a video teleconference, the method including but not limited to receiving at an end user device from a notification indicating a detection of the event of interest in video conference data from the video teleconference for a plurality of video conference participants; and sending data from the end user device to the server requesting a transcription of comments from the speaker in video teleconference.