Personalized GUI Icon Displays for Eligible Product Selection
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Solution Overview
Problem
Existing digital object origination processes often lead users to select products that are not eligible or not best suited to their needs, discouraging them and leading to inefficient product selection.
Innovation Solution
A computing system that generates customizable graphical user interfaces to display personalized entity objects based on user data analysis, ranking, and history, featuring the most suitable options for the user.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users are presented with all available entity products in existing digital origination processes, then users have access to a complete product catalog, but users may select products that are not eligible or not best suited to their needs, leading to inefficient product selection
Solution Approach 1:
The system performs preliminary actions by analyzing user data, determining eligibility criteria, and ranking entity products before presenting them to the user. This pre-processing of information ensures that only suitable products are displayed in the specified visual arrangement, preventing users from selecting ineligible products and improving selection efficiency.
Solution Approach 2:
The patent replaces the manual/mechanical process of users browsing and filtering products themselves with an automated computational system. The computing system automatically analyzes user data, determines eligibility, ranks products, and generates the visual arrangement, substituting user effort with automated information processing.
2Measurement precision
If the system analyzes and ranks multiple entity objects based on user data, then the most suitable products are identified and highlighted, but the system complexity and data processing requirements increase
Solution Approach 1:
The system segments the complex task of product recommendation into distinct functional components: user data analysis, eligibility determination, product ranking, and visual arrangement generation. This segmentation allows each component to be processed independently and efficiently, managing system complexity while maintaining high measurement precision in product suitability assessment.
3Ease of operation
If the graphical user interface displays multiple entity objects with different visual arrangements, then users can easily identify the highest-ranked options, but the interface design and rendering complexity increase
Solution Approach 1:
The system applies local quality by using different visual arrangements for different ranks of entity products. The highest-ranked product receives a distinct visual arrangement (e.g., prominent position, larger size, different styling) while other products have different arrangements, making it easy for users to identify the best options at a glance. This localized visual differentiation manages interface complexity by applying specific design rules to specific elements rather than redesigning the entire interface.
Data Source
AI summary
Systems and methods receive control signal(s) representing a UI input provided via an actionable GUI input component depicted via a GUI of a computer screen, the UI input indicating the user's need for an entity object, accessible via an entity, to be personalized for the user. Stored user data of the user stored to data storage location(s) is accessed that includes both attribute data associated with the user and resource data associated with a resource currently possessed by the user. Data analysis is performed on entity objects each having object attributes, the data analysis including evaluating the object attributes relative stored user data, identifying entity objects available to the user, and ranking the entity objects. Interactive UI input components associated with entity object content are generated and display, via the GUI, is initiated, the entity object content including a selection of ranked entity objects available to the user.