Activity Guide Parameter Adjustment for Personalized Fitness Guidance
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Solution Overview
Problem
Conventional electronic devices provide only standardized and general exercise information, which fails to cater to individual user tendencies, leading to low usage and ineffective goal attainment in fitness applications.
Innovation Solution
An electronic device equipped with sensors and a processor that collects activity information to provide personalized activity guide information, adjusting output timing, frequency, and content based on user engagement levels and activity patterns.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If standardized and general exercise information is provided, then the device complexity is reduced and ease of operation is improved, but the adaptability to individual user tendencies deteriorates
Solution Approach 1:
The system performs preliminary analysis of user activity information before providing exercise guidance. Sensors collect data on user movements and activities, and the processor analyzes this data in advance to determine user tendencies and preferences, enabling personalized guidance without increasing operational complexity for the user
Solution Approach 2:
The system implements a feedback mechanism where user activity information is continuously collected and analyzed, and exercise guidance is adjusted based on this feedback. The processor monitors user responses and activity patterns, then adapts the provided guidance to better match individual user tendencies over time
2Adaptability or versatility
If personalized activity guide information is provided according to user tendencies, then the adaptability is improved, but the device complexity and processing requirements increase
Solution Approach 1:
The system segments the exercise guidance into multiple categories or levels based on user tendencies and activity types. By dividing the guidance into manageable segments rather than providing comprehensive personalized instructions, the processing complexity is reduced while still delivering adaptive recommendations
Solution Approach 2:
The system adjusts parameters of exercise guidance such as intensity, duration, and type based on analyzed user tendencies. By changing key parameters rather than completely customizing entire exercise programs, the system achieves adaptability without proportionally increasing device complexity
3Productivity
If exercise guidance is provided frequently and continuously, then the productivity of goal attainment is improved, but the user resistance and loss of time increase
Solution Approach 1:
The system provides exercise guidance periodically rather than continuously, based on analyzed user activity patterns and tendencies. The processor determines optimal intervals for providing guidance, delivering recommendations at periodic intervals that maximize effectiveness while minimizing user burden and time loss
Solution Approach 2:
The system provides partial exercise guidance focused on key parameters rather than complete detailed instructions. By providing only the essential or most impactful guidance elements, the system improves goal attainment productivity without requiring users to spend excessive time processing comprehensive information
Data Source
AI summary
An electronic device includes a sensor, a processor, and a memory configured to store at least one instruction executed by the processor, wherein the processor is configured to collect activity information on a user related to the electronic device by using the sensor, the collecting of the activity information including creating an amount of activity of the user for a specific goal or an activity engagement level for the specific goal by using the activity information, adjust at least one of an output time point, an output cycle, the number of outputs, or the output contents of the activity guide information for the user to an activity guide parameter at least based on the amount of activity or the activity engagement level, and output the activity guide information created by using the adjusted activity guide parameter through an output device operatively connected to the processor.