Group State Prediction Using Communication Propagation
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Solution Overview
Problem
Existing systems fail to predict and mitigate the deterioration of group emotions effectively, making it difficult to maintain a positive atmosphere in human communication settings.
Innovation Solution
A state prediction system that acquires current state values and communication amounts between individuals, predicts future states by considering state propagation from others, and adjusts communication patterns to improve group dynamics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If current state estimation is used, then the current group emotion can be estimated, but the future state cannot be predicted and preventive measures cannot be taken
Solution Approach 1:
The system performs preliminary action by predicting future individual states before they actually occur. The state prediction unit calculates future state values based on current states and state propagation amounts, enabling the system to identify individuals who will deteriorate and take preventive measures in advance, rather than merely estimating current states.
Solution Approach 2:
The system applies beforehand cushioning by preparing preventive measures in advance. When the prediction unit identifies that an individual's future state will deteriorate below a threshold, the system notifies the communication support unit to provide assistance before the deterioration actually occurs, cushioning against potential negative impacts on group emotion.
2Reliability
If communication amount is increased to improve group emotion, then individual states may be disrupted, making it difficult to determine optimal communication patterns
Solution Approach 1:
The system applies local quality by providing personalized communication support to specific individuals based on their unique state propagation characteristics. The notification unit identifies which individuals need support and from whom, tailoring communication recommendations to each person's specific needs rather than applying uniform communication patterns to the entire group.
Solution Approach 2:
The system implements feedback by continuously monitoring current states, predicting future states, and using this information to generate targeted communication recommendations. The state prediction unit feeds back predicted deterioration information to the communication support unit, which then adjusts communication patterns based on this feedback loop.
Data Source
AI summary
A state prediction system includes a controller. The controller is configured to acquire a current state value indicating a current state of a targeted individual in a group. The controller is configured to acquire a state propagation amount indicating a state amount propagated from another person in the group to the targeted individual by communication between the targeted individual and the other person. The controller is configured to predict a future state value indicating a future state of the targeted individual from the acquired current state value of the targeted individual and the acquired state propagation amount.