Activity Support for Goal-Based Weakness Detection
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Solution Overview
Problem
Individual users face challenges in uniformly improving their abilities towards a specific goal without proper guidance, as they may not know the effective methods to overcome their weaknesses and may need trial-and-error efforts.
Innovation Solution
An activity support system that includes a server device and electronic devices to analyze user data, identify related indicators through machine learning, and provide personalized advice to improve these indicators, thereby enhancing goal achievement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users perform activities on their own without guidance, then they can achieve goals independently, but their abilities do not improve uniformly and they waste time on trial-and-error
Solution Approach 1:
The system continuously measures activity data, compares it with goal requirements, and provides feedback on deviations. This feedback mechanism enables users to understand their performance gaps and adjust their activities accordingly, eliminating the need for trial-and-error while maintaining independent operation.
Solution Approach 2:
The patent replaces manual trial-and-error with an automated information processing system that uses sensors, data communication, and algorithmic analysis to determine optimal activity adjustments, significantly reducing the time users would otherwise spend experimenting.
2Adaptability or versatility
If users perform activities on their own without guidance, then they maintain autonomy, but they cannot identify specific weaknesses or stagnation points in their abilities
Solution Approach 1:
The system acts as an intermediary between the user's autonomous activity and their self-improvement. It processes activity data, identifies weaknesses and stagnation points, and presents this information to users, enabling them to maintain autonomy while gaining actionable insights they cannot obtain alone.
Solution Approach 2:
The patent replaces the need for users to manually analyze their own performance with an automated system that uses sensors and data processing to identify specific weaknesses, providing comprehensive ability assessment without compromising user independence.
3Ease of manufacture
If general exercise menus are provided based on exercise performance, then users receive activity suggestions, but the suggestions do not address individual weaknesses or ability stagnation
Solution Approach 1:
The system transitions from providing uniform exercise menus to delivering personalized guidance tailored to each user's specific weaknesses and stagnation points. By analyzing individual activity data and identifying unique improvement needs, the system makes different parts of the guidance relevant to different users, maximizing the effectiveness of each suggestion.
Solution Approach 2:
The system performs preliminary analysis of user abilities, weaknesses, and stagnation points before generating activity suggestions. This preliminary action ensures that subsequent guidance is precisely targeted to individual needs rather than providing generic recommendations.
Data Source
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AI summary
There is provided an activity support method to be executed by a computer (7, 1, 7a, 1a). The method includes: obtaining a first goal of a first user in an activity; obtaining indicator values of the first user, the indicator values indicating an actual result of the activity; identifying a related indicator from the indicator values, the related indicator changing along with a goal-related parameter that corresponds to the first goal; and outputting information for the first user to improve the related indicator in performing the activity.