Avatar Change via EEG Emotion Estimation for Unconscious Behavior Reinforcement
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Solution Overview
Problem
Existing techniques for urging users to reinforce specific actions through neurofeedback often require conscious participation, making it difficult to achieve long-term reinforcement of actions without burdening the user and naturally inducing the desired emotional or situational state during biometric measurement, particularly with electroencephalogram measurement.
Innovation Solution
An information processing apparatus that changes the characteristics of an avatar based on emotion estimation results from electroencephalogram data, presenting these changes to the user as a form of long-term feedback to encourage reinforcement of specific behaviors without conscious awareness, using an electroencephalogram detection unit to detect brain activity during targeted behaviors and storing emotion data for long-term analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If neurofeedback techniques are used to urge users to reinforce specific actions, then behavior reinforcement is achieved, but the user must consciously participate which increases operational burden and reduces ease of operation
Solution Approach 1:
The system automatically detects electroencephalogram signals and estimates emotions without requiring conscious user participation or operation. The bioinformation acquisition unit continuously monitors brain activity, and the emotion estimation unit processes this data autonomously to provide feedback, allowing the system to serve itself by leveraging the user's natural physiological signals during daily activities
Solution Approach 2:
The patent replaces manual, conscious operational mechanisms with automated physiological detection. Instead of requiring users to deliberately engage in measurement procedures or consciously control their states, the system substitutes these mechanical interaction requirements with automatic electroencephalogram-based emotion detection and estimation, thereby eliminating operational burden while maintaining reinforcement effectiveness
2Measurement precision
If electroencephalogram measurement is performed to detect user state, then measurement precision is improved, but it becomes difficult to naturally induce desired emotional or situational states during measurement
Solution Approach 1:
The system performs preliminary acquisition of electroencephalogram signals during natural daily activities before specific tasks or measurements are required. By continuously monitoring brain activity during ordinary actions like walking or working, the system builds a baseline of the user's natural emotional states, which can then be used for comparison and feedback without requiring the user to deliberately enter measurement states
Solution Approach 2:
The system dynamically adapts to the user's natural rhythms and states by continuously acquiring electroencephalogram data during various activities. Rather than requiring static measurement conditions, the system processes emotions based on electroencephalogram signals acquired during dynamic, real-world activities, allowing measurement precision to be maintained while naturally inducing various emotional states through the user's normal life patterns
3Speed
If short-term emotion measurement is performed, then quick feedback is provided, but long-term behavior reinforcement and habit formation cannot be achieved
Solution Approach 1:
The system implements continuous acquisition of electroencephalogram signals and continuous estimation of emotions based on these signals. This uninterrupted process provides both immediate feedback for quick response and accumulates data over extended periods for long-term behavior analysis, maintaining both speed and duration of the feedback mechanism simultaneously through ongoing, continuous operation
Solution Approach 2:
The system employs periodic provision of feedback information to the user based on accumulated emotion estimation results. By continuously monitoring emotions and periodically delivering feedback at appropriate intervals, the system maintains rapid response capability while building toward long-term behavioral changes through repeated, periodic reinforcement cycles that span extended time periods
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach allows for the unconscious reinforcement of specific actions over time, reducing user burden and naturally inducing desired emotional or situational states during biometric measurement, enabling effective long-term feedback and behavior reinforcement.
Implementation Method 1
an electroencephalogram detection unit configured to detect an electroencephalogram
Data Source
AI summary
There is provided information processing apparatuses, information processing methods, programs, and information processing systems capable of reinforcing the reinforcement target behavior without causing the user's consciousness. A quest is presented for urging a user to execute a reinforcement target behavior, and when the user executes the reinforcement target behavior upon the request, an electroencephalogram is measured, emotion is estimated on the basis of the electroencephalogram, and when the number of times that dominant emotion having the highest emotion score among emotion of the emotion estimation results is detected exceeds a predetermined number of times, an avatar is changed corresponding to the emotion that is detected as the dominant emotion. The present disclosure can be applied to long-term feedback technology.