AI Emotion Recognition Preprocessing for Consent-Based Service Provision
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Solution Overview
Problem
Existing emotion recognition technologies face issues such as erroneous recognition due to ethnic or regional biases, leading to inappropriate services and uncomfortable experiences, and there is a need for controlled emotion recognition at a required level without compromising user comfort.
Innovation Solution
An information processing apparatus and method that includes preprocessing to determine service provision based on emotion recognition criteria, using artificial intelligence for emotion estimation, and providing services only when user agreement is obtained, with optional learning and multiple model inference to ensure accurate and ethical emotion recognition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If emotion recognition is performed using artificial intelligence, then service provision can be improved, but user comfort deteriorates due to erroneous recognition and inappropriate services
Solution Approach 1:
The patent applies preliminary action by obtaining user agreement before performing emotion recognition. The preprocessing unit checks whether user agreement has been obtained in advance, and only proceeds with emotion recognition when agreement is confirmed. This prevents erroneous recognition from causing user discomfort by ensuring users are aware and consenting to the recognition process beforehand.
Solution Approach 2:
The patent implements feedback by continuously monitoring service provision conditions and adjusting emotion recognition based on user responses. The system provides services based on emotion recognition results only when predetermined conditions are met, creating a feedback loop that ensures recognition accuracy and appropriateness, thereby maintaining user comfort while improving service provision.
2Speed
If emotion recognition is performed without user agreement, then service provision speed is improved, but ethical compliance deteriorates
Solution Approach 1:
The patent applies preliminary action by obtaining user agreement before performing emotion recognition. The preprocessing unit checks whether user agreement has been obtained in advance, and only proceeds with emotion recognition when agreement is confirmed. This prevents erroneous recognition from causing user discomfort by ensuring users are aware and consenting to the recognition process beforehand.
3Measurement precision
If multiple artificial intelligence models are used for emotion recognition, then recognition accuracy is improved, but system complexity increases
Solution Approach 1:
The patent applies segmentation by dividing the emotion recognition system into multiple independent artificial intelligence models. Each model specializes in recognizing specific emotions (e.g., joy, sadness, anger, fear, surprise, disgust), allowing the system to achieve high accuracy for each emotion type while maintaining manageable complexity through modular architecture.
Solution Approach 2:
The patent implements universality by designing multiple AI models that can collectively handle various emotion recognition tasks. Each model is trained for specific emotions but works together as a universal emotion recognition system, allowing the same framework to accurately recognize different emotions across various service contexts without requiring completely separate systems.
Data Source
AI summary
There is provided an information processing apparatus that includes a preprocessing unit that determines whether or not to permit provision of a service based on emotion recognition on the basis of a predetermined criterion, an emotion estimation processing unit that performs the emotion recognition for a user by using an artificial intelligence function, and a service providing processing unit that provides a service based on an emotion recognition result by the emotion estimation processing unit, in which, when the preprocessing unit determines to permit the provision of the service, the emotion estimation processing unit performs the emotion recognition or the service providing processing unit provides the service.