Exercise Support Dialogue Using Motion and Reaction Feedback
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Solution Overview
Problem
Existing exercise support systems struggle to provide personalized and engaging dialogue based on the exercise condition of users, particularly in small group settings, leading to reduced user engagement and motivation.
Innovation Solution
An information processing apparatus that integrates motion and reaction information inputs to generate utterance information tailored to the exercise condition of users, using a combination of sensors and machine learning to provide personalized dialogue and video playback control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If exercise support systems use generic dialogue without considering user state, then system complexity is reduced, but user engagement and motivation decrease
Solution Approach 1:
The system continuously monitors user motion information and reaction information, then feeds this data back to adjust the dialogue content and video playback in real-time, creating a closed-loop adaptive system that personalizes the exercise experience without requiring complex manual configuration
Solution Approach 2:
The information processing apparatus integrates multiple functions including motion detection, reaction monitoring, dialogue generation, and video control into a single unified system, allowing one device to handle multiple tasks that would otherwise require separate systems
2Loss of information
If the system processes multiple types of user information (motion and reaction), then dialogue relevance improves, but information processing complexity increases
Solution Approach 1:
The system combines motion information and reaction information processing into a unified dialogue generation framework, where both data types are integrated to create coherent contextual understanding rather than being handled as separate independent processes
3Productivity
If the system provides real-time personalized dialogue based on exercise condition, then user motivation increases, but processing time and computational load increase
Solution Approach 1:
The system pre-processes and categorizes user information during exercise sessions, preparing dialogue options and video selections in advance based on detected user states, so that real-time response generation requires minimal additional processing time
Data Source
AI summary
An information processing apparatus includes: circuitry configured to input motion information related to a physical exercise of a user; input reaction information related to a reaction of the user; and output utterance information related to exercise support for the user, the utterance information being generated based on the reaction information and the motion information.