Dynamic User Interface Element Ranking by Context
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing user interface (UI) elements in computer applications are often displayed in a static manner, limiting their usefulness and prominence based solely on the designer's or user's preferences, without consideration for user context such as location, time, or usage statistics.
Innovation Solution
A dynamic ranking system for UI elements is implemented, where a set of rules determines the ranking based on user context, including locale, time, age, and usage statistics, allowing for adaptive display and prominence of UI elements, with rules provided by either the client or server and calculated using accuracy and weight metrics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If UI elements are displayed in a static manner based on designer preferences, then the display is simple and consistent, but the usability and relevance to users are limited
Solution Approach 1:
The patent implements dynamic UI element ranking by continuously adjusting the order and prominence of UI elements based on real-time user context factors such as location, time, age, and usage statistics. This dynamic adaptation resolves the contradiction by making the system responsive to user needs while maintaining a consistent underlying framework for evaluation and display.
Solution Approach 2:
The system changes multiple parameters simultaneously including the ranking order, visibility, and prominence of UI elements based on evaluated context parameters. By adjusting these parameters dynamically rather than statically, the system improves usability without requiring complete redesigns of the interface structure.
2Adaptability or versatility
If UI elements are ranked dynamically based on user context, then relevance and personalization are improved, but the system complexity increases
Solution Approach 1:
The patent segments the complex adaptability task into distinct components: context factor identification, user profile maintenance, ranking calculation, and UI element selection. This segmentation allows the system to achieve high adaptability while managing complexity through modular, manageable functions that can be independently optimized.
Solution Approach 2:
The system incorporates feedback mechanisms where usage statistics and user interactions continuously refine the ranking algorithm. This feedback loop enables the system to learn from actual user behavior patterns, improving adaptability over time while using the feedback to validate and adjust the complexity of the ranking model.
3Reliability
If all UI elements are displayed with equal prominence, then the interface is simple and balanced, but important features may be overlooked by users
Solution Approach 1:
The patent applies local quality by assigning different prominence levels to different UI elements based on their individual relevance to the current user context. Instead of uniform treatment, each UI element receives customized display characteristics (such as size, position, or highlighting) according to its importance, ensuring critical features stand out while maintaining overall interface coherence.
Data Source
AI summary
A set of rules and a current context for a user is obtained. The set of rules and the current context are used to determine a rule weight for each of a set of user interface elements. One or more of the user interface elements is caused to be displayed. Which user interface elements are displayed is based at least in part on the rule weights.