Intelligent User Interface Adaptation via Self-Service Learning
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Solution Overview
Problem
Traditional user interface designs are not customizable enough to cater to individual user needs, requiring substantial effort and often fail to achieve 100% user satisfaction, as they are typically designed for general use cases and are not easily customizable by users due to complex control mappings and high personal Total Cost of Ownership (TCO).
Innovation Solution
An intelligent user interface platform that collects user experience data over time, analyzes it to identify most visited locations, used actions, and common mistakes, and automatically adjusts the user interface design by promoting or demoting interface components, such as menu items and icon locations, to create a tailored experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional user interface designs are used, then the interface is simple and easy to operate, but it cannot be customized to individual user needs and requires substantial effort to produce different designs for different users
Solution Approach 1:
The system automatically collects user interaction data, analyzes usage patterns, and generates customized interface designs without requiring manual user configuration. The intelligent platform serves itself by learning from user behavior and autonomously producing interface adaptations, eliminating the need for users to manually customize their interfaces while still achieving high adaptability to individual needs.
2Adaptability or versatility
If users manually customize their user interfaces, then the interface can be tailored to individual needs, but the complexity of control mappings and high personal TCO make it difficult for users to do so
Solution Approach 1:
The system performs customization automatically by collecting interaction data, analyzing usage patterns, and generating interface adaptations without requiring user intervention in the customization process. This eliminates the complexity of manual control mapping while maintaining high adaptability to individual user needs.
Solution Approach 2:
The system continuously collects feedback from user interactions, analyzes this data to identify usage patterns, and uses this information to automatically adjust the interface design. This feedback loop enables the system to adapt to individual user needs over time without requiring users to manually configure settings.
3Productivity
If a generic user interface design is used, then the design is simple and requires minimal production effort, but it fails to achieve 100% user satisfaction as it cannot accommodate unusual habits and new user expectations
Solution Approach 1:
The system transitions from a static, fixed interface design to a dynamic interface that automatically adapts based on collected user interaction data. The interface evolves over time by learning from user behavior patterns, ensuring high user satisfaction while maintaining efficient production through automation.
Solution Approach 2:
The intelligent platform autonomously performs the customization process by collecting data, analyzing patterns, and generating interface adaptations without requiring manual intervention. This self-service approach maintains production efficiency while achieving high user satisfaction through personalized adaptations.
Data Source
AI summary
Embodiments may be associated with a user interface design for an application. An intelligent user interface platform may collect user experience data associated with a user's interactions with the application over time (e.g., user actions, touchscreen interactions, computer mouse clicks, attention information, context information, etc.). The intelligent user interface platform may then analyze the user experience data (e.g., looking for most visited interface locations, most used actions, infrequently accessed functions, common user mistakes, etc.). The intelligent user interface platform may also automatically create a user interface design adjustment based on the analysis. For example, the user interface design adjustment might be associated with a menu item, a sub-menu item, an application action, an icon location, adding a display element, removing a display element, etc.