Hierarchical Display Visualization for Dynamic Category Data
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Solution Overview
Problem
Existing display systems struggle to present large volumes of categorized data, such as those found in electronic commerce sites, in a clear and accessible manner, especially as the number of items and categories increase, making it difficult to intuitively understand data dynamics and correlations.
Innovation Solution
A display system and method that utilizes processors to classify data into upper-level and lower-level categories, displaying objects with dynamic attributes like movement and color based on data-related information, allowing for intuitive visualization of category relationships and data changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If traditional list-based display methods are used for categorized data, then the system structure is simple, but the clarity and accessibility of large volumes of data deteriorates
Solution Approach 1:
The patent segments the display into multiple visual layers: category indicators (upper-level symbols), individual item representations (lower-level symbols), and dynamic visual elements (animations, color changes). This segmentation allows complex categorized data to be presented in an organized, visually distinct manner that maintains clarity while managing information density.
Solution Approach 2:
The patent transitions from traditional two-dimensional list displays to multi-dimensional visual representations by incorporating spatial positioning, color dimensions, and temporal animations. Category indicators are positioned in specific display regions, items are visually anchored to their categories through spatial relationships, and dynamic elements add a temporal dimension that enhances data accessibility without increasing system complexity.
2Quantity of substance
If the number of items and categories increases to provide comprehensive data, then the data completeness improves, but the difficulty of intuitive understanding worsens
Solution Approach 1:
The patent employs color as a visual attribute to encode category information and data states. Category indicators and associated items use consistent color coding to establish visual relationships, while color changes and animations highlight dynamic data updates. This visual encoding allows users to quickly comprehend large volumes of categorized data through color-based pattern recognition rather than text-heavy displays.
Solution Approach 2:
The patent introduces dynamic visual elements including animations, transitions, and real-time updates that actively guide user attention through the data. Dynamic indicators highlight category relationships, animate data additions or modifications, and provide visual feedback that makes navigating and understanding large datasets more intuitive. These dynamic elements transform static, overwhelming data into an engaging, easily comprehensible visual experience.
3Loss of information
If detailed category information is displayed for all items, then the information completeness improves, but the visual clarity and accessibility deteriorates
Solution Approach 1:
The patent implements selective information display where only relevant category indicators and associated items are visually prominent at any given time. The system displays partial information sets based on user context, focus area, or selection state, rather than overwhelming users with complete category hierarchies simultaneously. This partial display approach maintains information accessibility while preserving visual clarity through strategic information filtering and progressive disclosure.
Data Source
AI summary
A category classification includes one or more upper-level categories, and lower-level categories that are included in each of the upper-level categories. The one or more upper-level categories and the lower-level categories are used to classify targets. A method for displaying information that is classified into categories includes causing a computer to, based on information related to targets that are classified into each of the upper-level categories and the lower-level categories, execute displaying objects in a display area. The objects include one or more upper-level symbols, each representing a corresponding one of the one or more upper-level categories, and lower-level symbols, each representing the lower-level categories. The method also includes causing the computer to, based on the information, execute changing display of at least one of the objects in the display area.