Resource Index for Dynamic UI Element Selection
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Solution Overview
Problem
Identifying and selecting appropriate user interface elements for different languages on a computer can be a time-consuming process, degrading the user experience due to the complexity of determining which elements are available on a particular device.
Innovation Solution
A resource index is maintained to identify multiple resource instances for each resource item, with associated conditions, allowing a decision module to determine which instances satisfy request conditions from applications, and potentially identify errors in running applications based on context comparisons.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual identification of language-specific UI elements is performed, then customization accuracy is improved, but time consumption increases
Solution Approach 1:
The system performs preliminary action by pre-organizing UI elements into a resource index with associated language tags and conditions before runtime. This allows the decision module to quickly match requested languages against pre-categorized resources without manual identification during execution, thus maintaining accuracy while reducing time consumption.
Solution Approach 2:
The patent introduces a decision module as an intermediary between the resource requests and the resource index. This mediator automatically matches language requests with appropriate UI elements by evaluating conditions and weights, eliminating the need for manual identification while preserving customization accuracy through systematic condition-based selection.
2Measurement precision
If comprehensive resource indexing is implemented, then resource matching accuracy is improved, but system complexity increases
Solution Approach 1:
The system segments the resource management functionality into distinct components: a resource index for storing organized UI elements, a decision module for evaluating requests, and condition-weight pairs for specific matching criteria. This segmentation improves matching accuracy through structured organization while managing complexity by dividing the system into manageable, independent modules.
Solution Approach 2:
The patent manages complexity by changing parameters from binary matching to weighted condition-based matching. Each resource instance has associated conditions with weights that determine priority, allowing the system to handle complex matching scenarios through parameter adjustment rather than structural complexity. The decision module evaluates these parameters systematically to achieve accurate matching.
Data Source
AI summary
A resource index on a computing device identifies multiple resource instances (e.g., multiple user interface (UI) resource instances) of multiple resource items (e.g., of multiple UI resource items), each resource instance having one or more resource instance conditions. In response to a request for a resource item received from an application, a determination is made based on the resource index of one of the multiple resource instances that satisfy conditions associated with the request, and the one of the multiple resource instances is returned to the application. Additionally, the resource index can be used to identify potential errors in running an application in various potential contexts.


