Emotion Analysis System for Communication Smoothness
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Solution Overview
Problem
Existing communication systems struggle to facilitate smooth communication among participants with diverse values, as simply encouraging low-participation individuals to speak may not be sufficient to overcome emotional barriers and ensure effective interaction.
Innovation Solution
An information processing system that analyzes the emotion of participants, quantifies their emotion levels, and notifies specific communication targets when the emotion level exceeds a set threshold, facilitating smoother communication by addressing emotional states in real-time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If participants with diverse values communicate directly without intervention, then communication authenticity is maintained, but communication smoothness deteriorates due to emotional barriers and value conflicts
Solution Approach 1:
The system introduces an intermediary emotion analysis mechanism that monitors and analyzes emotional states of participants without directly interfering in the communication. This intermediary layer provides emotional context information to facilitate smoother interactions while preserving the authenticity of direct participant communication.
Solution Approach 2:
The system implements feedback by analyzing emotion levels of participants and providing notifications when emotions exceed thresholds. This feedback loop enables participants to adjust their communication behavior based on real-time emotional states, improving communication smoothness while maintaining authentic interactions.
2Ease of operation
If emotion analysis and notification systems are implemented, then communication smoothness is improved by addressing emotional barriers, but system complexity increases
Solution Approach 1:
The system employs self-service by automatically analyzing emotions and generating notifications without requiring manual intervention. The emotion analysis and notification mechanisms operate autonomously, reducing the need for complex manual management while improving communication smoothness.
Solution Approach 2:
The system replaces manual emotional assessment and intervention with automated emotion analysis technology. This substitution reduces system complexity by eliminating the need for manual emotional monitoring while maintaining the benefit of addressing emotional barriers in communication.
3Reliability
If emotion level monitoring is continuous, then communication barriers are addressed timely, but energy consumption increases
Solution Approach 1:
The system uses periodic action by monitoring emotion levels at specific intervals and triggering notifications only when emotion thresholds are exceeded. This periodic monitoring approach maintains reliable emotion detection while reducing continuous processing energy consumption.
Solution Approach 2:
The system applies parameter changes by adjusting the sensitivity and threshold parameters of emotion detection based on communication context. This allows the system to maintain high reliability in emotion detection while optimizing energy consumption by avoiding unnecessary continuous high-level processing.
Data Source
AI summary
An information processing system is provided. The information processing system comprises: an analysis device configured to analyze emotion of a first person and quantify an emotion level of the first person; and an identification device configured to identify a second person serving as a communication target of the first person. The information processing system further comprises a notification device configured to notify the second person if the emotion level exceeds a set threshold.