GUI Data Representation Adaptation via User Interaction Prediction
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Solution Overview
Problem
Current graphical user interface (GUI) designs do not effectively change the visual representation of data based on user preferences, only modifying region sizes as per user interaction analysis.
Innovation Solution
A system that monitors user interaction with a GUI, allowing for the dynamic change between different data representation forms such as text, visual data, icons, pictures, and others, and rearranges the layout based on user behavior analysis, using a prediction engine to compute interaction probabilities and highlight transformed sections.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the GUI layout is modified only by changing region sizes based on user interaction analysis, then the user engagement is improved to some extent, but the visual representation of data cannot be adapted to user preferences
Solution Approach 1:
The patent implements dynamic adaptation of data representation forms based on real-time user interaction analysis. The system transitions from static region size adjustments to dynamic content transformation, where data can be represented in multiple forms (text, visual, icon, picture) and the system automatically switches between them according to user behavior patterns, thereby resolving the contradiction between adaptability and complexity
Solution Approach 2:
The system changes the representation parameters of data dynamically. Instead of fixed representation formats, the patent enables parameter variation in data presentation (text, visual data, icon, picture) based on analyzed user preferences. This parameter change mechanism allows the same data to be presented in different forms according to user interaction patterns, improving adaptability while managing complexity through automated parameter selection
2Productivity
If the system monitors and analyzes user interaction to change data representation, then user engagement increases, but the system complexity and processing requirements increase
Solution Approach 1:
The system performs self-service by automatically monitoring, analyzing, and adapting the GUI based on user interaction patterns. The monitoring and analysis components operate autonomously to identify user preferences and trigger appropriate data representation changes without requiring manual intervention, thereby improving productivity while containing complexity within the system's automated frameworks
Solution Approach 2:
The patent implements feedback mechanisms where user interaction data is continuously collected and analyzed to adjust data representation in real-time. This feedback loop enables the system to learn from user behavior patterns and automatically optimize the GUI presentation, increasing engagement efficiency while managing complexity through structured feedback processing
3Adaptability or versatility
If multiple data representation forms are implemented, then the system can adapt to user preferences, but the complexity of managing different forms increases
Solution Approach 1:
The patent applies universality by implementing a multi-functional data representation system that can handle multiple forms (text, visual data, icon, picture) through a unified framework. The system uses a single analysis mechanism to determine user preferences and automatically selects appropriate representation forms, thereby achieving versatility while reducing the complexity of managing multiple forms through consolidation
Data Source
AI summary
A system for redesigning a graphical user interface (GUI) including: a computer readable medium (CRM) having instructions; and a screen in communication with the CRM and that displays the GUI. The GUI includes at least one first portion containing first data represented in a first form; and at least one second portion containing second data represented in a second form. The instructions of the CRM direct monitoring interactions between a user and the GUI.