GUI Interaction Metrics for Ergonomics and Input Efficiency
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Solution Overview
Problem
Existing graphical user interface (GUI) applications often fail to quantitatively evaluate ergonomics and efficiency, leading to user fatigue and repetitive stress injuries, as well as increased hardware wear and tear.
Innovation Solution
A system and method for quantitatively evaluating GUI ergonomics and efficiency by logging user interactions, calculating ergonomics-and-efficiency indicators, and recommending redesigns to improve user comfort and efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If existing GUI applications are used without quantitative evaluation, then development cost and time are reduced, but user fatigue and repetitive stress injuries increase
Solution Approach 1:
The system implements quantitative evaluation feedback by calculating ergonomics-and-efficiency indicators based on user interaction data, providing measurable feedback about GUI performance to guide iterative improvements and reduce user fatigue through evidence-based design adjustments
Solution Approach 2:
The system enables self-service evaluation where the GUI application automatically logs user interactions, tracks input locations, and computes ergonomics metrics without requiring external manual assessment, allowing the system to evaluate itself and identify areas for improvement
2Device complexity
If existing GUI applications are used without quantitative evaluation, then development resources are minimized, but hardware wear and tear increase
Solution Approach 1:
The GUI application performs self-evaluation by automatically tracking user input locations and calculating ergonomics indicators, eliminating the need for separate complex evaluation systems while reducing hardware wear through optimized interaction patterns
Solution Approach 2:
The system replaces manual or mechanical evaluation methods with automated computational analysis, using software-based tracking and calculation to assess GUI ergonomics without requiring additional physical hardware or manual measurement processes
3Ease of operation
If graphical elements are positioned to improve ergonomics, then user comfort increases, but GUI layout flexibility decreases
Solution Approach 1:
The system enables dynamic GUI layout optimization by calculating ergonomics indicators based on actual user interaction patterns, allowing the interface to adapt its element positioning dynamically based on measured user behavior while maintaining flexibility for different use cases
Solution Approach 2:
The system changes layout parameters such as element positioning and spacing based on calculated ergonomics-and-efficiency indicators, adjusting these parameters to optimize user comfort while maintaining the ability to adapt to different task requirements through data-driven modifications
Data Source
AI summary
In certain implementations, a computer-implemented method includes obtaining logged pixel coordinates of a sequence of input locations associated with performing a task on a user interface, converting the logged pixel coordinates of the sequence of input locations to a plurality of vectors, each vector of the plurality of vectors representing a distance between a first location and a sequential input location, each vector of the plurality of vectors indicating a direction from the first location to the sequential input location, calculating an average distance between input locations for the task, calculating an average direction change between input locations for the task, and generating an ergonomics-and-efficiency indicator from the average distance between input locations and the average direction change between input locations.


