Adaptive GUI Pattern Matching for User Access Optimization
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Solution Overview
Problem
Existing graphical user interfaces (GUIs) do not effectively customize themselves to individual user interactions, presenting the same layout to all users regardless of their specific needs, leading to suboptimal access and efficiency.
Innovation Solution
A system that identifies user interactions, matches them to pre-existing GUI patterns, and modifies the GUI to improve access to relevant graphical elements by tracking patterns and using a monitoring module, pattern repository, and customization module to dynamically adjust the interface based on predicted interactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a standardized GUI is presented to all users, then the system complexity is reduced and ease of manufacture is improved, but user access efficiency and ease of operation deteriorate because users cannot access relevant graphical elements efficiently
Solution Approach 1:
The system pre-defines GUI patterns that contain sequences of graphical elements and their relationships. These patterns are prepared in advance and stored in a pattern repository, allowing the system to quickly match and apply appropriate patterns without complex real-time analysis, thus improving user access while controlling system complexity
Solution Approach 2:
The system automatically monitors user interactions, identifies events, matches them to GUI patterns, and modifies the GUI without requiring manual configuration. This self-service approach eliminates the need for manual setup while providing personalized customization, resolving the contradiction between ease of operation and system complexity
2Ease of operation
If manual GUI setup is required for customization, then user access efficiency can be improved, but the ease of manufacture and setup time deteriorate
Solution Approach 1:
The system automatically monitors user interactions with the GUI, identifies events based on these interactions, matches events to appropriate GUI patterns from the repository, and applies customizations without any manual setup. This eliminates manual configuration requirements while achieving personalized user access efficiency
Solution Approach 2:
The system continuously monitors user interactions and uses this feedback to automatically adjust and customize the GUI. The monitoring module tracks user behavior, and this information feeds back into the pattern matching and customization process, enabling automatic optimization of user access efficiency without manual intervention
3Productivity
If the GUI is modified dynamically based on user behavior, then user access efficiency improves, but the stability of the GUI composition deteriorates
Solution Approach 1:
The system dynamically modifies the GUI composition based on matched GUI patterns and user interactions. The GUI transitions from a static standardized layout to a dynamic adaptive layout that reconfigures itself according to identified user needs, thereby improving interaction efficiency while maintaining compositional stability through pattern-based constraints
Solution Approach 2:
The system uses universal GUI patterns that can apply to multiple different user scenarios and interaction types. These patterns provide a stable framework that can adapt to various user behaviors while maintaining consistency in the overall GUI composition, balancing dynamic customization with structural stability
Data Source
AI summary
A method for customizing a graphical user interface (GUI). The method includes identifying an event associated with the GUI and a user; matching the event to a trigger of a GUI pattern; identifying, within the GUI pattern, an expected interaction between the GUI and the user in response to the event; and modifying the GUI to improve user access to a graphical element involved in the expected interaction.