Communication Assistance Server for Real-Time Emotion Feedback
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Solution Overview
Problem
Existing communication support systems fail to directly assess and address the true feelings of users during real-time communications, limiting their ability to enhance the smoothness of interactions.
Innovation Solution
A communication support server and system that analyzes message content, generates question information to determine user feelings, and provides assist messages based on user responses, calculating degrees of good feeling and determining assistance needs to improve communication quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If the system estimates user feelings based on utterance amount and conversation activity data, then the communication support can be provided automatically, but the accuracy of feeling estimation deteriorates because it cannot directly check the partner's true feelings
Solution Approach 1:
The system sends question information to the first user asking about their feelings toward the second user, and uses the answer information received as feedback to accurately estimate the user's feelings. This feedback mechanism allows the system to directly obtain feeling data rather than relying on indirect automated estimation, thereby improving measurement precision while maintaining automation.
Solution Approach 2:
The system introduces question information as an intermediary tool to indirectly measure user feelings. Instead of directly analyzing complex emotional states, the system uses standardized question items as a mediator to obtain measurable answer information, which then serves as the basis for accurate feeling estimation while preserving automated operation.
2Reliability
If the system analyzes message content to generate question information and assist messages, then the communication quality improves, but the system complexity increases
Solution Approach 1:
The system divides the communication support function into distinct segments: message content analysis, question information generation, and assist message generation. Each segment handles a specific task independently, making the overall complex system more manageable and easier to implement while maintaining high communication quality through coordinated operation of these segmented functions.
Solution Approach 2:
The system uses the message content itself as the basis for generating both question information and assist messages, allowing the system to serve itself by utilizing existing data (messages) to produce supportive outputs without requiring external intervention or complex additional inputs, thereby reducing practical system complexity.
Data Source
AI summary
A communication support server includes: a message content analysis unit configured to analyze a content of a message transmitted from a first terminal device used by a first user and/or a second terminal device used by a second user; a question information generation unit configured to generate question information to be transmitted to the first user based on the content of the message analyzed by the message content analysis unit; and an assist message generation unit configured to generate an assist message to be transmitted only to the second terminal device based on answer information that is an answer of the first user to the question information.