Understanding the Impact of Referent Design on Scale Perception in Immersive Data Visualization

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Authors Yihan Hou, Hao Cui, Rongrong Chen, Wei Zeng arXiv ID 2403.16018 Category cs.HC: Human-Computer Interaction Citations 0 Venue CHI Extended Abstracts Last Checked 4 months ago
Abstract
Referents are often used to enhance scale perception in immersive visualizations. Common referent designs include the considerations of referent layout (side-by-side vs. in-situ) and referent size (small vs. medium vs. large). This paper introduces a controlled user study to assess how different referent designs affect the efficiency and accuracy of scale perception across different data scales, on the performance of the size-matching task in the virtual environment. Our results reveal that in-situ layouts significantly enhance accuracy and confidence across various data scales, particularly with large referents. Linear regression analyses further confirm that in-situ layouts exhibit greater resilience to changes in data scale. For tasks requiring efficiency, medium-sized referents emerge as the preferred choice. Based on these findings, we offer design guidelines for selecting referent layouts and sizes in immersive visualizations.
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