Segmented Data Indexing for UX Design Resource Retrieval
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Solution Overview
Problem
User Experience Design (UXD) professionals face significant challenges in processing large volumes of complex data types, requiring extensive processing time for cross-indexing to identify relevant information for design purposes.
Innovation Solution
A design resource system that includes a data source with predefined linking relationships between primary and secondary data objects, allowing for efficient querying and retrieval of matching data objects through a processor-executed design resource application, which generates query results for display without the need for cross-indexing all data types.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional computer aided techniques are used to perform cross indexing of various data types, then comprehensive data analysis is achieved, but processing time increases significantly
Solution Approach 1:
The patent segments the data indexing system into multiple separate indexes, where each index corresponds to a specific data type (e.g., demographic data index, behavioral data index, product data index). This segmentation allows the system to query only relevant portions of the data rather than performing comprehensive cross-indexing of all data types, thereby reducing processing time while maintaining analysis comprehensiveness through targeted multi-index queries.
Solution Approach 2:
The patent implements preliminary action by pre-organizing data into type-specific indexes before queries are executed. Each data type is pre-categorized and stored in its dedicated index structure, allowing the system to rapidly retrieve relevant data without performing time-consuming cross-referencing operations during actual queries. This pre-organization significantly reduces processing time while preserving data analysis completeness.
2Adaptability or versatility
If each data type is individually connected to every other data type through cross indexing, then all possible data relationships are captured, but the indexing complexity and processing requirements increase dramatically
Solution Approach 1:
The patent divides the indexing structure into multiple segmented indexes based on data types, where each index manages a specific category of data independently. This segmentation reduces indexing complexity by eliminating the need for comprehensive cross-indexing between all data types, while still capturing essential data relationships through selective multi-index queries that connect relevant data segments as needed.
Solution Approach 2:
The patent introduces an intermediary indexing layer that manages relationships between different data types without requiring direct connections between all pairs of data types. This intermediary structure allows the system to capture necessary data relationships through controlled access paths, reducing overall indexing complexity while maintaining adaptability for analyzing various data combinations.
Data Source
AI summary
A system and method is provided for retrieving disparate design data in connection with the design of a device, a service, or a system. A user design application enables users to store disparate data according to predefined links in a central data source. The user design application also enables users to query the central data source to retrieve relevant disparate design data based on the predefined relationships.