GUI Icon Layout Based on Hand Dominance and Interaction Data
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Solution Overview
Problem
There is no system or method to determine the most efficient interaction for users with the graphical user interface of computing devices, leading to decreased efficiency and increased battery and processing load.
Innovation Solution
A system and method that analyze user interaction data to customize the graphical user interface by arranging user interaction icons on a lower and side portion based on hand dominance, reducing cognitive load and optimizing device usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the graphical user interface uses traditional icon arrangement, then the interface is simple to implement, but user interaction efficiency is low and cognitive load is high
Solution Approach 1:
The system performs preliminary analysis of user interaction data to determine hand dominance before generating the customized interface. By pre-determining the optimal icon arrangement based on user characteristics, the system eliminates the need for users to manually configure their interface, thereby improving interaction efficiency without increasing user-side complexity
Solution Approach 2:
The graphical user interface system automatically analyzes user interaction data and generates customized icon arrangements without requiring user intervention. The system serves itself by autonomously determining optimal interface configurations based on detected hand dominance, reducing both user cognitive load and the complexity burden on users while maintaining high interaction efficiency
2Productivity
If the graphical user interface requires more processing for customization, then user interaction efficiency improves, but battery drain increases
Solution Approach 1:
The system performs interface customization analysis periodically rather than continuously. By analyzing user interaction data at specific intervals to determine hand dominance and generate customized interfaces only when needed, the system achieves improved interaction efficiency while minimizing continuous processing and associated battery drain
Solution Approach 2:
The system changes the parameter of icon arrangement based on detected hand dominance characteristics. By adjusting only the spatial parameters of icon placement rather than fundamentally redesigning the interface architecture, the system achieves personalized efficiency improvements with minimal processing overhead and battery consumption
3Adaptability or versatility
If the graphical user interface uses standardized layout, then implementation is simple, but it does not adapt to individual user needs
Solution Approach 1:
The system applies different icon arrangements to different portions of the interface based on user-specific hand dominance characteristics. By customizing only the relevant spatial parameters of icon placement rather than the entire interface architecture, the system achieves high adaptability to individual users while maintaining the simplicity of standardized implementation principles
Data Source
AI summary
A technique for generating an output to a graphical user interface to improve the operation of a computing device, the system constructed according to the technique may include receiving, by a processor of at least one computing device, a plurality of information from a user; analyzing, with the at least one computing device the plurality of information; generating, by the at least one computing device, an output to a graphical user interface having user interaction icons on a lower portion and a side portion of the interface.