Real-Time Online Meeting Feedback Device Using Feature Point Extraction
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Solution Overview
Problem
Participants in online meetings face challenges in understanding the context, atmosphere, and quality of the meeting, as existing systems fail to provide real-time, context-specific feedback.
Innovation Solution
A feedback device and program that acquire meeting data, extract feature points, compare them with judgment criteria, and create notifications for participants in real-time, using a data acquisition unit, criterion information acquisition unit, extraction unit, comparison unit, notification creation unit, and output unit to provide context-specific feedback.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If online meetings are conducted via network connection, then meeting accessibility and participation are improved, but understanding of meeting context and atmosphere deteriorates
Solution Approach 1:
The system extracts feature points from meeting data (such as speech patterns, interaction frequency, and engagement metrics) and provides real-time feedback notifications to participants. This feedback loop compensates for the loss of contextual information by explicitly informing participants about meeting dynamics, thereby resolving the contradiction between improved accessibility and degraded context understanding.
2Loss of time
If meeting records are transcribed and evaluated after the meeting, then record capitalization is achieved, but real-time context-specific feedback is lost
Solution Approach 1:
The system performs preliminary extraction of feature points from meeting data during the meeting itself, rather than waiting for post-meeting transcription. By identifying and analyzing key features in real-time, the system enables immediate feedback while the context is still fresh, resolving the contradiction between time efficiency and information quality.
3Quantity of substance
If general meeting transcription is provided, then meeting record is created, but tailored context-specific information is not provided
Solution Approach 1:
The system extracts specific feature points from the general meeting data, such as speech ratios, interaction patterns, and engagement metrics. By separating and analyzing these specific features independently from the overall transcription, the system provides precise, tailored feedback while maintaining the completeness of the meeting record, thus resolving the contradiction between quantity and quality.
Data Source
AI summary
The present invention addresses the problem of providing a feedback device and a program which can acquire, in real time, information according to a meeting situation. Provided is a feedback device 1 which performs feedback in an online meeting of participants in real time, wherein the feedback device comprises: a data acquisition unit 11 which acquires meeting data pertaining to the meeting; a reference information acquisition unit 17 which acquires, as reference information, feature points extracted from the meeting data and a determination criterion for the feature points; an extraction unit 19 which extracts the feature points included in the meeting data acquired on the basis of the acquired reference information; a comparison unit 20 which compares the extracted feature points and the determination criterion; a notification creation unit 21 which creates, on the basis of the comparison result, a notification to parties interested in the meeting; and an output unit 22 which outputs the created notification to the parties. Accordingly, the problem is addressed.