Web Page User Interface Adaptation via Usage Pattern Segmentation
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Solution Overview
Problem
Existing Web page user interfaces are not designed to present relevant content to individual users, leading to inefficiencies and increased costs due to the need for complex customization systems that require user registration and proxy servers.
Innovation Solution
A system and method that provides multiple user interfaces with predetermined content, tailored based on historical usage data, allowing users to select or be suggested a user interface that suits their needs, reducing complexity and implementation costs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If multiple user interfaces with predetermined content are provided, then user experience and content relevance are improved, but device complexity increases
Solution Approach 1:
The system segments the user interface into multiple predetermined templates, each tailored to specific user groups or device types. Instead of creating custom interfaces individually, the system divides interface design into reusable segments that can be automatically selected and assembled based on user characteristics, thereby improving user experience while managing complexity through standardization.
2Adaptability or versatility
If custom user interfaces are created for individual users, then content relevance is improved, but implementation cost increases
Solution Approach 1:
The system creates master templates of user interfaces that can be copied and adapted for different user groups. Instead of manually designing custom interfaces for each user, the system uses template copying with parameter substitution based on user profiles, significantly reducing implementation costs while maintaining content relevance through automated template selection and instantiation.
3Adaptability or versatility
If user registration and proxy servers are used for customization, then content personalization is improved, but ease of operation deteriorates
Solution Approach 1:
The system implements self-service personalization where users automatically receive customized interfaces based on their device type, usage patterns, or profile information without manual registration or configuration. The system autonomously selects appropriate templates and applies personalization, eliminating the need for users to interact with complex setup procedures while still delivering personalized content.
Data Source
AI summary
A system and method for facilitating ease of use of a user interface which monitors usage of a Web page to discern usage patterns associated with the Web page. The discerned usage patterns associated with the Web page are then used to form a plurality of user interface types each functioning to provide to the Web page predetermined content. A user selects one of the plurality of user interface types whereupon, in response to a subsequent request from the user to view the Web page, the Web page is provided to the user with the select one of the plurality of user interface types.


