Visual Hierarchy Explorer for Tree Data Navigation
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Solution Overview
Problem
Browsing large hierarchical data structures is inefficient and time-consuming, as users struggle to navigate and visualize the structure, losing context and unable to see the 'big picture' due to the need for extensive drilling and lack of overview in standard browsers.
Innovation Solution
A graphical tree hierarchy is generated with aggregation and scaling of nodes, allowing for a Visual Hierarchy Explorer (VHE) that displays a tree structure with a root node, non-leaf nodes, and leaf nodes, enabling users to zoom in and out, maintain context, and navigate efficiently by aggregating nodes and scaling leaf nodes to fit within a GUI region.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If standard tree browsers are used to display hierarchical data structures, then the complete structure can be shown, but the user loses context and cannot see the big picture when navigating large hierarchies
Solution Approach 1:
The patent introduces a dual-view interface that adds a new dimension to tree navigation. The mini-map provides a top-level overview while the detailed view shows current context, allowing users to navigate large hierarchies without losing context. This dimensional addition resolves the contradiction by enabling simultaneous visibility of both big picture and detailed structure.
Solution Approach 2:
The mini-map acts as an intermediary between the user and the large hierarchical data structure. It provides a condensed overview that helps users orient themselves and plan navigation paths, while the main detailed view maintains full context. This intermediary element resolves the contradiction by mediating between overview and detail requirements.
2Measurement precision
If users drill down into large hierarchical structures to find specific nodes, then detailed information can be accessed, but the process is slow and time-consuming
Solution Approach 1:
The mini-map provides preliminary orientation information before users begin detailed navigation. Users can quickly identify target node locations and plan their drilling path in advance, rather than blindly navigating through each level. This preliminary action significantly reduces navigation time while maintaining accurate node location capability.
Solution Approach 2:
The mini-map provides continuous feedback about the user's position in the hierarchy and the location of target nodes. As users drill down, the mini-map updates to show their current context and remaining distance to targets, enabling efficient navigation adjustments and reducing overall navigation time.
3Loss of information
If the entire tree structure is displayed at full detail, then all nodes are visible, but the interface becomes too complex to navigate and understand
Solution Approach 1:
The interface is segmented into two distinct views: a mini-map providing top-level structure overview and a detailed view showing current node context. This segmentation allows the system to display all nodes without overwhelming the user, as each segment serves a specific purpose and maintains appropriate detail level independently.
Solution Approach 2:
Different parts of the interface have different levels of detail and complexity. The mini-map uses simplified representation for overview, while the detailed view provides full node information when needed. This local quality differentiation reduces overall interface complexity while maintaining complete node visibility across both views.
Data Source
AI summary
A method and a system are described that involve generating a graphical tree hierarchy of a data structure and its accompanying metadata. In one embodiment, the method includes building a graphical tree hierarchy with a plurality of levels, wherein the graphical tree hierarchy includes at least a root node, a plurality of non-leaf nodes, and a plurality of leaf nodes. Further, the method includes aggregating at least a portion of the plurality of non-leaf nodes at a level of the graphical tree hierarchy, if a subset of the plurality of non-leaf nodes residing at the level exceeds a maximum number of nodes per the level. The method also includes scaling down the plurality of leaf nodes, if the plurality of levels of the graphical tree hierarchy exceeds a maximum number of levels.