Visual Object Prioritization in Configurable Interfaces
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Solution Overview
Problem
Customizing configurable interfaces, such as portal pages and IDEs, can be time-consuming and burdensome for users, especially casual or new users who do not receive a useful default view.
Innovation Solution
A system and method that automatically prioritizes visual objects within a configurable interface by analyzing the behavior patterns and assigning weights to group members, allowing for automatic arrangement and display of visual objects based on collective user behaviors and preferences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If users manually customize portal pages and configurable interfaces, then the interface can be tailored to individual preferences, but the time and effort required for customization increases
Solution Approach 1:
The system performs preliminary action by pre-configuring portal pages and interfaces based on aggregate user behavior data before the actual user needs to use the system. Behavior patterns are collected and analyzed in advance to automatically determine optimal layouts and configurations, eliminating the need for manual customization by new or casual users.
Solution Approach 2:
The system implements self-service by automatically configuring interfaces based on user identity and behavior patterns without requiring manual user input. The system serves itself by analyzing collective user behaviors and autonomously determining the optimal interface configuration for each user, reducing the burden on individual users to manually customize.
2Ease of operation
If default views are provided for new users, then the interface is immediately usable, but the default view may not be optimized for individual user needs
Solution Approach 1:
The system performs preliminary action by pre-configuring portal pages and interfaces based on aggregate user behavior data before the actual user needs to use the system. Behavior patterns are collected and analyzed in advance to automatically determine optimal layouts and configurations, eliminating the need for manual customization by new or casual users.
Solution Approach 2:
The system implements feedback by continuously collecting and analyzing user behavior data to refine and improve default views. User interactions, preferences, and usage patterns are monitored and fed back into the system to automatically adjust and optimize the interface configuration over time, ensuring the default view evolves to better match individual user needs.
Data Source
AI summary
A system, method and program product for prioritizing visual objects for a configurable interface. A system is provided that includes a computer system having: a grouping system for defining a group of members and for assigning weights to members of the group; a behavior analysis system for collecting behaviors of the members of the group; and a prioritization system that prioritizes visual objects based on the collected behaviors and weights assigned to the members of the group.


