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Minding the Gap: A Quantitative Comparison of Distance Perception on Open vs. Closed Circles
IEEE Transactions on Visualization and Computer Graphics
|March 10, 2026
Summary
Human perception of proximity differs between open and closed circular axes in radial visualizations. This study provides guidelines for choosing the best axis type for data visualization tasks.
Area of Science:
- Data Visualization
- Human-Computer Interaction
- Cognitive Psychology
Background:
- Radial visualizations use angle or arc length to encode data dimensions.
- The radial axis implies similarity between data points via proximity.
- Visualizations employ open (gapped) or closed (full circle) circular axes.
Purpose of the Study:
- To determine which circular axis type (open or closed) better supports human perception of proximity.
- To provide empirical evidence for selecting appropriate axis types in radial visualizations.
Main Methods:
- A quantitative, task-driven experiment was conducted with 28 participants.
- Participants performed low-level tasks (identify, compare, summarize) on open and closed circular axes.
- Accuracy and response time were measured to evaluate distance perception.
Main Results:
- The study identified differences in human distance perception between open and closed circular axes.
- Quantitative data on accuracy and response time were collected for various tasks.
- Results offer insights into the effectiveness of each axis type for specific visualization goals.
Conclusions:
- Empirically grounded guidelines for selecting open versus closed circular axes were developed.
- Findings inform the design of radial visualizations to enhance user perception of data similarity.
- Further research is suggested based on preliminary post-hoc analysis insights.
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