Planetary Data Visualization for Small Screen Prioritization
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Solution Overview
Problem
Current data visualization methods, such as tile-based and list-based interfaces, are inefficient for small screens and fail to effectively aggregate and prioritize data from multiple sources like apps, health trackers, and social networks, making it difficult for users to quickly access important information.
Innovation Solution
A system and method for user data aggregation and visualization using a planetary model, which includes a data aggregation server, a prioritization server for ranking data, and a visualization engine to display graphical indicia on a network-connected device, allowing for space-efficient and rapidly understandable data presentation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If tile-based or list-based visual arrangement is used, then information can be presented in an ordered fashion, but screen space efficiency deteriorates and user interaction complexity increases
Solution Approach 1:
The patent transitions from traditional 2D tile-based or list-based layouts to a 3D planetary model where data is arranged in a radial spatial configuration around a central hub. This dimensional change allows multiple data points to be displayed simultaneously in a compact circular arrangement, dramatically improving screen space efficiency while maintaining ordered information presentation through radial positioning.
Solution Approach 2:
The planetary model implements dynamic prioritization where the most relevant data automatically positions itself closest to the central hub, with less important data arranged further away. This dynamic reorganization based on data priority allows the interface to adapt to changing information importance without requiring user interaction, solving the contradiction between ease of access and screen space utilization.
2Adaptability or versatility
If multiple separate hubs are used to integrate information from different sources, then data aggregation capability is improved, but system complexity and user confusion increase
Solution Approach 1:
The patent merges multiple separate data hubs into a single unified planetary interface where all data sources (apps, health trackers, social networks) are integrated around one central user hub. This consolidation eliminates the need for users to switch between multiple separate applications or hubs, reducing system complexity while maintaining the ability to aggregate diverse data sources through the unified radial layout.
3Quantity of substance
If comprehensive data from multiple sources is collected, then information completeness is improved, but information prioritization and quick access deteriorate
Solution Approach 1:
The planetary model applies local quality by differentiating the visual prominence and spatial positioning of data based on its priority and relevance. High-priority information is positioned closer to the central hub with greater visual weight, while lower-priority data is arranged further away. This localized differentiation allows comprehensive data to be displayed while enabling users to quickly access the most important information without being overwhelmed by the total data volume.
Data Source
AI summary
A system for user activity and data aggregation and visualization, comprising a data aggregation server that receives data via a network, a prioritization server that ranks data, and a visualization engine that generates a visualization of ranked data using a planetary model, and a method for visualizing data using a planetary model.