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

Y Hou, H Cui, R Chen, W Zeng - … Abstracts of the CHI Conference on …, 2024 - dl.acm.org
Y Hou, H Cui, R Chen, W Zeng
Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2024dl.acm.org
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 …
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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