English

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

Human-Computer Interaction 2024-03-26 v1

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.

Keywords

Cite

@article{arxiv.2403.16018,
  title  = {Understanding the Impact of Referent Design on Scale Perception in Immersive Data Visualization},
  author = {Yihan Hou and Hao Cui and Rongrong Chen and Wei Zeng},
  journal= {arXiv preprint arXiv:2403.16018},
  year   = {2024}
}

Comments

7 pages, 6 figures, Accepted to Extended Abstracts of the CHI Conference on Human Factors in Computing Systems (CHI EA '24)

R2 v1 2026-06-28T15:31:24.212Z