Modular Metrics Bar for Adaptive Exercise Machine Interfaces
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Solution Overview
Problem
Existing stationary exercise machines lack an intuitive and adaptable user interface that consistently displays relevant fitness metrics across different workout states and types, failing to enhance the user experience.
Innovation Solution
A modular metrics bar that is integrated into the exercise machine's graphical user interface, which dynamically adapts to workout states and types, allowing users to customize and save their preferred metrics display, and can be either floating or anchored on the screen.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a fixed console display is used to show workout metrics, then the display structure is simple, but the interface cannot adapt to different workout states and types
Solution Approach 1:
The metrics bar is segmented into modular components that can be independently configured. Each metric displayed can be individually customized, hidden, or shown based on workout state, allowing the interface to adapt without requiring complete redesign of the entire display system.
Solution Approach 2:
The metrics bar transitions from a static fixed display to a dynamic element that can move (float or anchor) and reconfigure based on workout state. The bar can be dragged to different positions and its contents can change dynamically according to the current workout type and state.
2Ease of operation
If workout metrics are always displayed on the console, then users have continuous visibility of data, but the interface becomes cluttered and less intuitive during certain workout states
Solution Approach 1:
The metrics bar can be extracted from the main console display area and positioned as a floating element or anchored at different locations. This allows the critical workout metrics to be separated from the general display clutter and positioned optimally for the current workout state, improving intuitiveness while maintaining visibility.
Solution Approach 2:
The metrics bar moves from a two-dimensional fixed console display to a more flexible three-dimensional positioning system where it can float at different locations or anchor to edges of the display. This dimensional flexibility allows optimal placement without cluttering the main interface.
3Adaptability or versatility
If the metrics bar is fixed on the screen, then the display layout is simple, but users cannot customize the display according to their preferences
Solution Approach 1:
The metrics bar is divided into discrete, customizable segments representing different metrics. Users can selectively configure which metrics appear, their ordering, and their display properties independently, allowing personalized displays without requiring complex global reconfiguration of the entire interface.
Solution Approach 2:
The metrics bar serves multiple functions: it displays workout metrics, can be customized by users, can be positioned flexibly, and can be configured for different workout types. This multi-functionality is achieved through a unified modular architecture that handles diverse requirements without proportionally increasing complexity.
4Loss of information
If detailed workout metrics are displayed continuously, then users have comprehensive workout information, but the interface becomes less clean and focused during certain workout states
Solution Approach 1:
Instead of displaying all possible metrics continuously, the system displays only the relevant and necessary metrics for the current workout state. The metrics bar can be configured to show partial information when appropriate, avoiding interface clutter while maintaining completeness of information when needed.
Data Source
AI summary
A system includes an exercise machine and a computing device coupled to the exercise machine. The computing device presents a metrics bar within a graphical user interface in an initial state, detects a start of a first workout experience by a user on the exercise machine, retrieve a first set of metrics from stored user preferences data based on a workout experience type, workout type, and exercise machine type of the first workout experience, and displays the first set of metrics in a display area of the metrics bar during the first workout experience. The computing device detects a start of a second workout experience, determines a second set of metrics from the stored user preferences data based on a workout experience type, workout type, and exercise machine type of the second workout experience, and displays the second set of metrics in the metrics bar during the second workout experience.


