Data Display Prioritization via Usage History Analysis
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Solution Overview
Problem
It is challenging to easily find specific data with a usage history that satisfies a predetermined condition when displaying information related to multiple pieces of data, as existing methods do not effectively prioritize or highlight such data within a large dataset.
Innovation Solution
An information processing apparatus that grasps usage histories of data stored in a storage apparatus and controls the display to prioritize information related to specific data meeting a predetermined condition, such as frequent usage, by pinning it to a prominent position on the screen.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If data is displayed in storage order or name order, then the display structure is simple and systematic, but it becomes difficult to find specific data with particular usage history characteristics
Solution Approach 1:
The system performs preliminary analysis of usage history before display, identifying data that meets predetermined conditions (e.g., frequently accessed, recently modified). This pre-processing allows the display to prioritize relevant data without requiring complex real-time sorting operations during user interaction.
Solution Approach 2:
Different display positions are assigned different functions: predetermined positions (e.g., top of list) display data meeting specific usage conditions, while other positions display remaining data in traditional order. This local differentiation allows targeted optimization for finding specific data types without restructuring the entire display system.
2Productivity
If all data is displayed in traditional order, then the display method is simple, but user efficiency in locating frequently used data is reduced
Solution Approach 1:
The system applies visual differentiation (such as highlighting, coloring, or special icons) to data items that meet predetermined usage conditions. This visual cue system allows users to quickly identify and locate frequently used or relevant data without having to scan through entire lists, significantly reducing search time.
3Ease of operation
If data prioritization based on usage history is implemented, then finding specific data becomes easier, but the display system complexity increases
Solution Approach 1:
The system automatically monitors and analyzes usage history, identifying patterns and frequently accessed data without requiring manual user input or configuration. This self-service approach to data prioritization reduces the need for complex user interfaces or manual setup procedures while maintaining high data accessibility.
Data Source
AI summary
An information processing apparatus includes a processor configured to grasp usage histories of plural pieces of data stored in a storage apparatus, and in a case of initially displaying information related to the plural pieces of data on a screen, perform control to display information related to specific data of which a usage history satisfies a predetermined condition at a predetermined position on the screen.