Visual Status Tiles for High-Volume Data Interpretation
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Solution Overview
Problem
Current data visualization tools fail to effectively present high-volume, repetitive data in a clear and intuitive manner, making it difficult for business users to quickly determine the status of multiple subjects or objects being monitored, especially in real-time scenarios.
Innovation Solution
A system that combines video feeds with display tiles generated by combining icons representing status attributes, where each icon's display characteristic is determined based on received data, allowing for a visual representation of the status of an object of interest on a display.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If traditional data visualization tools are used to present high-volume data, then data can be displayed on the screen, but the data becomes overwhelming and difficult to interpret quickly
Solution Approach 1:
The patent segments high-volume data into discrete visual elements including icons representing different data points, colored circles indicating status levels, and hierarchical groupings. Each segment can be independently perceived, allowing users to process large quantities of data through parallel visual scanning rather than sequential text reading.
Solution Approach 2:
The patent employs color-coded visual elements where different colors represent different status levels or categories of data. This allows users to quickly distinguish between various data states (e.g., normal, warning, critical) without reading numerical values, significantly improving interpretation speed for high-volume data sets.
2Loss of information
If detailed reports with multiple rows and columns are provided, then comprehensive data information is available, but users cannot quickly get meaning from the data
Solution Approach 1:
The patent transforms two-dimensional tabular data into a multi-dimensional visual space using hierarchical icon arrangements, nested groupings, and spatial relationships. This allows comprehensive data information to be presented in a format that leverages human spatial reasoning capabilities, enabling quick comprehension without sacrificing data completeness.
Solution Approach 2:
The patent merges multiple data attributes into single visual elements. For example, multiple status indicators are combined into one icon with colored circles representing different dimensions of data. This consolidation maintains information completeness while dramatically reducing the time required to understand the data by presenting multiple facts simultaneously in one visual unit.
3Ease of operation
If simple dashboard gauges are used, then data presentation is straightforward, but they fail to capture complex business problems
Solution Approach 1:
The patent creates a universal visual language using standardized icons and colored circles that can represent multiple business concepts. The same visual elements can depict different business metrics, status levels, and relationships depending on their arrangement and context, allowing the system to adapt to complex business scenarios while maintaining simplicity in presentation.
Solution Approach 2:
The patent uses nested visual structures where icons contain colored circles that represent different levels of data granularity. This nested arrangement allows simple outward appearance while encoding complex business information within the layers, enabling both simplicity and adaptability to be achieved simultaneously.
4Loss of information
If graphical elements like line and pie charts are included, then data visualization is enhanced, but they display data in only one or two dimensions and cannot show relationships with data in other reports
Solution Approach 1:
The patent moves beyond traditional two-dimensional charts by creating a multi-dimensional visual space where icons and colored circles can represent data across multiple dimensions simultaneously. The hierarchical and spatial arrangements encode additional dimensions of data relationships that cannot be displayed in conventional line or pie charts, while maintaining visual clarity.
Data Source
AI summary
A system and method for creating a visual perspective of operational information that facilitates rapid decision making. The system and method merges existing data sources from any number of computer-fed external data sources through an applications server to display data set in easily recognizable, repeatable images (tiles) uniquely designed for a user's application. The system and method create visual perspectives of data that accelerate decision-making and problem solving processes by displaying repeatable images (tiles) that display performance results verses expected performance criteria in high-volume, intuitive displays.