Workout App Abnormal Stop Detection and Auto-Restart
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Solution Overview
Problem
Existing electronic devices with workout functions often abnormally stop during exercise, leading to inconvenience and missed workout records, as users are not promptly notified of the issue, making it difficult to resume the workout and maintain accurate tracking.
Innovation Solution
An electronic device system that detects abnormal stops of workout applications, automatically re-executes the application, and estimates missed activity to ensure continuous workout recordkeeping, thereby preventing data loss and maintaining user engagement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the workout application is manually monitored and restarted by the user, then the user can resume the workout function, but the user experience is inconvenient and workout records may be lost
Solution Approach 1:
The system automatically detects abnormal stops of the workout application and restarts it without user intervention. The processor monitors the application state, detects when it has stopped abnormally, and automatically re-executes the application, allowing the system to serve itself rather than requiring manual user action.
Solution Approach 2:
The system continuously monitors the running state of the workout application and provides feedback when an abnormal stop is detected. This feedback mechanism enables the system to identify when the application has stopped and trigger the automatic restart process, ensuring continuous workout tracking.
2Extent of automation
If the workout application runs in the background without monitoring, then the application can operate autonomously, but the user cannot notice when workout records are missing
Solution Approach 1:
The system implements a monitoring mechanism that continuously checks the running state of the workout application in the background. When an abnormal stop is detected, the system provides feedback by notifying the user and automatically restarting the application, ensuring workout record completeness without requiring constant user attention.
Solution Approach 2:
The monitoring and restart functionality operates autonomously in the background, automatically detecting abnormal stops and restarting the application without requiring user intervention. This self-service approach maintains automated workout tracking while preventing data loss through continuous monitoring.
3Reliability
If the application automatically restarts without user notification, then workout continuity is maintained, but the user cannot verify what happened during the abnormal stop
Solution Approach 1:
The system provides dual feedback: it automatically restarts the application to maintain continuity while also notifying the user of the abnormal stop. This notification mechanism ensures users are informed of what happened during the abnormal stop, preventing information loss while maintaining workout continuity.
Solution Approach 2:
The system performs preliminary notification to the user before or during the automatic restart process. By informing the user of the abnormal stop condition, the system ensures users have awareness of the event while the automatic restart mechanism maintains workout continuity, addressing both information transparency and reliability needs.
Data Source
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AI summary
An electronic device including a memory storing an application program that provides a guide about a user action, collects information on a performance of the user action, or collects information on a user state. A processor connected to the memory is configured to execute the application program, to detect a cause by which the application program is stopped, and to automatically reexecute the application program or to provide a user interface for receiving a user input for the reexecution of the application program on the basis of at least a portion of the detected cause.