Personalized Contextual Interface via Modular Sub-Component Assembly
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing websites often fail to be optimized for diverse user needs and priorities, resulting in suboptimal experiences for users with different requirements.
Innovation Solution
A system that includes a processor and computer-readable storage instructions to provide an individualized contextual module for capturing user information, an artificial intelligence module for tailoring experiences, and a sub-component assembly module for generating contextual interfaces using micro front-end components, which can be composed and reused to create personalized user experiences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a single standardized interface is provided for all users, then the device complexity is reduced and ease of manufacture is improved, but the adaptability to different user needs deteriorates
Solution Approach 1:
The interface is segmented into modular sub-components that can be independently selected and assembled. Each sub-component represents a discrete functional element that can be combined in different configurations to create personalized interfaces for different user needs, thereby achieving adaptability without proportionally increasing overall complexity.
Solution Approach 2:
The system provides a universal framework that can accommodate multiple interface configurations through a standardized component library. The same set of sub-components can be reused across different user contexts and applications, allowing one interface system to serve multiple user needs while maintaining manageable complexity through component reusability.
2Adaptability or versatility
If personalized interfaces are created for each user, then the adaptability to user needs is improved, but the device complexity and difficulty of manufacture increase
Solution Approach 1:
The system performs preliminary action by pre-defining a library of standardized sub-components that can be directly reused. Instead of creating interfaces from scratch for each user, the system prepares reusable building blocks in advance that can be quickly assembled through automated processes, significantly reducing the manufacturing effort required for personalized interfaces.
Solution Approach 2:
The system uses copying by replicating proven interface sub-components across different user contexts. Rather than redesigning interface elements for each user, the system copies and reassembles validated sub-components from a standardized library, maintaining consistency and quality while reducing development effort and complexity.
3Loss of information
If user-specific information is collected and processed, then the relevance and personalization of the interface is improved, but the loss of information privacy increases
Solution Approach 1:
The system applies local quality by collecting and processing only the specific user information necessary for each particular interface customization need. Rather than gathering comprehensive user data, the system selectively processes only the relevant local information required for that specific personalization context, minimizing overall information collection while maintaining effective personalization.
Data Source
AI summary
An example system can include: at least one processor; and non-transitory computer-readable storage storing instructions that, when executed by the at least one processor, cause the system to: provide an individualized contextual module programmed to capture individual information associated with a user, the individual information including personal information about the user; provide an artificial intelligence module programmed to use artificial intelligence to tailor an experience for the user based upon the personal information; and provide a sub-component assembly module programmed to select sub-components based upon the experience to generate a contextual interface for the user.