Connected Fitness Pause Handling for Leaderboard Rank Integrity
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Solution Overview
Problem
Existing connected fitness systems do not effectively allow users to pause interactive content during exercise without compromising their performance statistics or metrics, leading to unfair competition and loss of leaderboard rankings.
Innovation Solution
Implement a pause module that enables users to pause interactive content, updates leaderboards to maintain user rankings through approximation, and provides features like auto-resume and machine locks, ensuring fair competition and continued performance tracking.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users pause interactive content during exercise, then users can handle interruptions and maintain comfort, but leaderboard rankings and performance statistics are compromised
Solution Approach 1:
The system segments the exercise session into paused and active portions, tracking performance metrics separately for each segment. This allows the pause function to be implemented without compromising overall statistics integrity, as the system can reconstruct complete performance data by combining segmented measurements.
Solution Approach 2:
The system performs preliminary tracking of performance metrics before the pause occurs, storing baseline data that can be used to maintain leaderboard rankings. By capturing performance data in advance and establishing prediction models, the system can preserve ranking integrity even when content is paused.
2Adaptability or versatility
If users pause interactive content during exercise, then users can attend to personal matters, but fair competition is compromised
Solution Approach 1:
The system implements feedback mechanisms that monitor pause duration and frequency, providing users with information about how pausing affects their competition standing. This feedback loop allows users to make informed decisions about pausing while maintaining fair competition through transparent reporting of pause-related performance adjustments.
Solution Approach 2:
The system changes performance evaluation parameters based on pause behavior, adjusting metrics such as effective exercise time or intensity weights to account for interruptions. By dynamically modifying evaluation parameters, the system maintains fair competition while accommodating necessary pauses for personal matters.
3Productivity
If leaderboard rankings are updated in real-time during exercise, then competitive engagement is maintained, but system complexity increases
Solution Approach 1:
The system performs preliminary calculations and predictions of leaderboard rankings before actual exercise completion, allowing real-time updates without complex continuous recalculations. By establishing prediction models in advance, the system maintains competitive engagement while reducing computational complexity during exercise execution.
4Measurement precision
If the system tracks performance metrics continuously, then accurate statistics are maintained, but energy consumption increases
Solution Approach 1:
The system implements periodic sampling of performance metrics rather than continuous tracking, measuring key parameters at regular intervals during exercise. This periodic measurement approach maintains sufficient statistical accuracy while significantly reducing energy consumption compared to continuous monitoring.
Data Source
AI summary
Systems and methods for enabling users to pause interactive content, such as streamed exercise classes, and return to the classes without compromising their class performance statistics or metrics are described. For example, when a user decides to pause (e.g., they have to quickly handle something), they may have their rank removed from a leaderboard, with the leaderboard passing the ranking to the next user of the activity, while the user is still placed on the leaderboard according to an approximated position or ranking.