Meeting skills improvement support device and meeting skills improvement support program
The meeting skills improvement support device and program address the lack of skill enhancement in web meetings by analyzing emotions and generating personalized suggestions, improving meeting effectiveness through real-time and post-meeting feedback loops.
JP2026111528APending Publication Date: 2026-07-03NOA CO LTD
Patent Information
- Authority / Receiving Office
- JP · JP
- Patent Type
- Applications
- Current Assignee / Owner
- NOA CO LTD
- Filing Date
- 2025-12-10
- Publication Date
- 2026-07-03
AI Technical Summary
Technical Problem
Existing technologies for recognizing human emotions in web meetings do not support activities for future skill improvement based on emotion recognition, lacking the capability to provide actionable suggestions for enhancing meeting effectiveness.
Method used
A meeting skills improvement support device and program that utilize emotion recognition models to analyze facial expressions and voices during meetings, rank emotions, and generate personalized suggestions for skill enhancement, incorporating feedback loops for continuous improvement.
Benefits of technology
Facilitates automatic extraction and presentation of actionable meeting skill improvement suggestions, enhancing meeting effectiveness by addressing key emotional factors in real-time or post-meeting scenarios.
✦ Generated by Eureka AI based on patent content.
Smart Images
Figure 2026111528000001_ABST
Abstract
We provide a meeting skills improvement support device that helps meeting participants improve their meeting skills. [Solution] A meeting skill improvement support device that supports proposals for improving meeting skills to target participants in a meeting, wherein the storage device stores an emotion recognition model that recognizes the emotions of at least one participant from video data, meeting skill improvement proposal data associated with the emotions, and emotion evaluation criteria for ranking the recognized emotions, and when the control device receives video data of a meeting as input, it processes the video data using the emotion recognition model, recognizes the emotions of at least one participant in the meeting, extracts meeting skill improvement proposal data associated with the recognized emotions, ranks the recognized emotions using the emotion evaluation criteria, and generates a list of the extracted meeting skill improvement proposal data according to the ranking order.
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