Conferencing Assistant Alerts for Agenda Drift and Relevant Segments
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Solution Overview
Problem
Existing conferencing systems lack usability features that allow users to efficiently attend only relevant portions of events, as they often deviate from published agendas, causing users to waste time on uninteresting segments or miss important content.
Innovation Solution
A conferencing assistant service that analyzes event agendas and audio content using machine learning to identify relevant segments, generates real-time notifications, and provides summaries to ensure users attend only pertinent parts of the meeting.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If users attend entire events to ensure they don't miss any content, then they may capture all possible information, but they waste time on uninteresting segments
Solution Approach 1:
The event is segmented into multiple time intervals, and users are notified specifically about segments of interest rather than requiring them to attend the entire event. The system divides the event timeline into discrete segments and selectively communicates relevant portions to users.
Solution Approach 2:
The system performs preliminary analysis of event content before the event occurs by analyzing agendas and predicted content, allowing users to be notified in advance about specific segments they should attend. This preliminary preparation enables users to make informed decisions about which portions to attend.
2Ease of operation
If users rely on published agendas to plan their attendance, then they can prepare in advance, but events often deviate from agendas causing users to miss important content
Solution Approach 1:
The system continuously monitors actual event content against the published agenda and provides real-time feedback to users about schedule deviations. When the event diverges from the agenda, the system notifies users so they can adjust their attendance accordingly and still access relevant content.
Solution Approach 2:
The system analyzes the published agenda in advance to identify segments of interest before the event occurs, preparing notification strategies that will activate when relevant segments actually occur during the event, regardless of schedule deviations.
3Loss of time
If users join events late to attend specific segments, then they save time on uninteresting portions, but they may miss important content that starts early or late
Solution Approach 1:
The system provides real-time feedback to users about when segments of interest are occurring or will occur, enabling late-joining users to be notified about specific time windows when relevant content is being discussed, ensuring they don't miss important information despite joining late.
Solution Approach 2:
The system sends periodic notifications to users at specific intervals during the event, alerting them when segments of interest begin or when schedule deviations occur, ensuring users are informed at the appropriate moments regardless of when they join.
Data Source
AI summary
Disclosed are various approaches for detecting whether an event in a conferencing service is advanced or delayed relative to an agenda providing by the conferencing service or an event organizer. A speech-to-text conversion of the audio component can be performed and compared against the agenda. Segments of interest can be identified and users notified if the event is advanced or delayed.