Online Conference Emotion Recognition Adjustment
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Solution Overview
Problem
Existing online conference systems fail to consider individual participant states, leading to inaccurate recognition of emotions, such as a participant having a negative emotion despite appearing happy.
Innovation Solution
An online conference system that includes an acquisition means for recognizing emotions, an adjustment means for modifying the presentation of these emotions, and a presentation means for displaying the adjusted emotions to other participants.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If emotion recognition is performed based on general appearance only, then the system is simple to operate, but the emotion recognition accuracy deteriorates when individual participant states are not considered
Solution Approach 1:
The emotion recognition process is segmented into multiple stages: initial appearance-based recognition, then refinement based on individual participant states (mood, smile frequency, context). This allows the system to start simple and add complexity only when needed for accuracy.
Solution Approach 2:
The system performs preliminary actions by pre-establishing participant profiles including mood, smile frequency, and communication patterns before emotion recognition begins. This preliminary data collection enables more accurate real-time emotion detection without adding real-time complexity.
2Measurement precision
If individual participant states are considered for accurate emotion recognition, then emotion recognition accuracy improves, but the device complexity increases
Solution Approach 1:
The system uses a universal data processing framework that handles multiple types of participant state data (mood, smiles, context) through the same emotion recognition algorithm. This multi-functional approach improves accuracy without proportionally increasing complexity.
Solution Approach 2:
The system introduces intermediary components such as participant profiles and state trackers that mediate between raw data collection and emotion recognition. These intermediaries organize complex data into structured formats that are easier to process for emotion analysis.
3Ease of operation
If emotion recognition results are presented without adjustment, then the information is complete, but the communication effectiveness deteriorates due to misinterpretation
Solution Approach 1:
The system changes parameters of emotion presentation by adjusting the degree of detail, format, and emphasis based on the speaker's needs and the participant's state. For example, it may emphasize positive emotions for motivational speakers or downplay negative emotions in sensitive contexts, improving communication effectiveness while preserving essential information.
Data Source
AI summary
A processor of an online conference system (1): an acquisition process for acquiring an emotion recognition result for a first participant who participates in the online conference; an adjustment process for adjusting a presentation content of the emotion recognition result; and a presentation process for presenting the adjusted presentation content to a second participant different from the first participant.