Concentric Ring Visualization for Multivariate Session Data
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Solution Overview
Problem
Displaying multivariate session data in a visually meaningful way for business analysis is challenging due to the complexity of data such as customer demographics, entrance and exit times, and dwell times across various settings.
Innovation Solution
A method using concentric rings with overlapping periods is employed, where each ring represents time units and cells within them signify smaller time periods, colored based on metrics like dwell time, allowing for an interactive visualization of session data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If multivariate session data is displayed using traditional methods, then data completeness is maintained, but data visualization complexity and difficulty of understanding increase
Solution Approach 1:
The patent segments multivariate session data into multiple concentric rings, where each ring represents a different variable (e.g., dwell time, entrance time, exit time, age, gender). This segmentation allows comprehensive data representation while organizing information into manageable visual units that can be independently analyzed yet collectively provide complete insights.
Solution Approach 2:
The patent transforms complex multivariate data into a two-dimensional visual format using concentric rings with radial and angular dimensions. Each ring's position, color, and segmentation encode multiple variables simultaneously, converting high-dimensional data into an intuitive spatial representation that maintains information completeness while reducing perceived complexity.
2Measurement precision
If detailed multivariate data is analyzed, then analysis precision improves, but time required for understanding increases
Solution Approach 1:
The patent uses color encoding to represent different variables and their values within the concentric ring structure. Each ring or segment can be colored according to metrics such as dwell time categories, age groups, or gender distributions, allowing users to rapidly comprehend detailed data patterns through visual cues rather than numerical analysis, thereby maintaining precision while reducing understanding time.
Solution Approach 2:
The patent pre-processes and organizes multivariate session data into the concentric ring structure before presentation, with variables already mapped to specific rings and segments. This preliminary organization of data into an intuitive visual framework eliminates the need for users to manually process or interpret raw data, providing immediate analytical insights while preserving measurement precision.
3Loss of information
If comprehensive session data is collected, then data value for business analysis increases, but data processing complexity increases
Solution Approach 1:
The concentric ring visualization structure serves multiple functions simultaneously: it displays temporal data (entrance/exit times), demographic data (age/gender), and behavioral data (dwell time) within a single unified framework. This multi-functional design allows comprehensive data collection and processing while using a standardized visual language that simplifies the processing complexity across different data types.
Data Source
AI summary
Visual analytics for multivariate session data using concentric rings with overlapping periods includes displaying an interactive graph in a display. The interactive graph includes at least a portion of multiple concentric rings where each one of at least some of the multiple concentric rings represents periodic time units. At least some of the multiple concentric rings are divided into cells where the cells represent smaller time periods than the time units. A color of each of the cells represents a value of a metric. Also, an overlapping period ring displayed with the multiple concentric rings where the overlapping period ring comprises segments that represent overlapping metrics from the cells of the concentric rings that correspond with the segments.