Reaction Generation Apparatus Using Brain Wave Inference
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Solution Overview
Problem
Existing technologies lack the ability to accurately generate realistic and contextually appropriate reactions from virtual persons, particularly in interactions with individuals who may be deceased, leading to awkward or inappropriate responses.
Innovation Solution
A reaction generation apparatus and method that utilizes brain wave information and machine learning to infer and adjust reactions based on the emotional and psychological states of individuals, incorporating feedback to improve response accuracy and reduce awkwardness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If virtual persons use predefined or simple AI response systems, then device complexity is reduced, but response accuracy and emotional appropriateness deteriorate
Solution Approach 1:
The system segments the response generation process into multiple independent modules: brain wave information acquisition unit, state generation unit (inferring emotional/psychological states), reaction generation unit (selecting appropriate responses), and feedback acquisition unit. Each module handles a specific aspect of the interaction, allowing the complex overall function to be achieved through coordinated simpler components.
Solution Approach 2:
The system implements feedback loops where user brain wave information is continuously acquired and used to adjust the virtual person's reactions. The feedback acquisition unit collects user responses to refine the state generation and reaction generation processes, enabling the system to learn and improve response accuracy over time while managing complexity through iterative optimization.
2Adaptability or versatility
If virtual persons use basic AI techniques, then ease of operation is improved, but adaptability to emotional contexts deteriorates
Solution Approach 1:
The system changes operational parameters by incorporating brain wave information as an additional input dimension beyond simple text processing. The state generation unit processes multiple parameters (brain wave patterns, conversation context, emotional states) to generate adapted responses. This allows the virtual person to adapt to emotional contexts by adjusting its response parameters based on physiological data while maintaining relatively simple operational procedures through automated parameter adjustment.
3Measurement precision
If the system processes detailed brain wave information, then state inference accuracy is improved, but information processing time increases
Solution Approach 1:
The state generation unit extracts only the essential features from brain wave information that are relevant to emotional and psychological state inference. Rather than processing complete raw brain wave data, the system identifies and processes key patterns and characteristics, reducing processing time while maintaining state inference accuracy by focusing on the most informative aspects of the neural signals.
Data Source
AI summary
Provided is a reaction generation apparatus comprising an information acquisition unit that acquires subject input information input by a subject and subject brain wave information of the subject when the subject input information is input, a state generation unit that generates subject state information representing a state of the subject, based on the subject brain wave information, and a reaction generation unit that generates reaction information representing a reaction of the subject, based on the subject input information and the state of the subject. The information acquisition unit may further acquire biological information of the subject when the subject input information is input. The state generation unit may generate the subject state information based on the subject brain wave information and the biological information.