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Evaluating 3D Visual Comparison Techniques for Change Detection in Virtual Reality

Zhu, Changrui; Kruijff, Ernst; Pawar, Vijay M; Julier, Simon; (2025) Evaluating 3D Visual Comparison Techniques for Change Detection in Virtual Reality. IEEE Transactions on Visualization and Computer Graphics pp. 1-11. 10.1109/tvcg.2025.3549578. (In press). Green open access

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Abstract

Change detection (CD) is critical in everyday tasks. While current algorithmic approaches for CD are improving, they remain imprecise, often requiring human intervention. Cognitive science research focuses on understanding CD mechanisms, especially through change blindness studies. However, these do not address the primary requirement in real-life CD — detecting changes as effectively as possible. Such a requirement is directly relevant to the visual comparison field — studying visualisation techniques to compare data and identify differences or changes effectively. Recent studies have used Virtual Reality (VR) to improve visual comparison by providing an immersive platform where users can interact with 3D data at a real-life scale, enhancing spatial reasoning. We believe VR could also improve CD performance accordingly. Particularly, VR offers stereoscopic depth perception over traditional displays, potentially enhancing the detection of spatial change. In this paper, we develop and analyse three 3D visual comparison techniques for CD in VR: Sliding Window, 3D Slider, and Switch Back. These techniques are evaluated under synthetic but realistic environments and frequently occurring Perceptual Challenges, including different Changed Object Size, Lighting Variation, and Scene Drift conditions. Experimental results reveal significant differences between the techniques in detection time measures and subjective user experience.

Type: Article
Title: Evaluating 3D Visual Comparison Techniques for Change Detection in Virtual Reality
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/tvcg.2025.3549578
Publisher version: https://doi.org/10.1109/tvcg.2025.3549578
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher's terms and conditions.
Keywords: Virtual Reality (VR), Human Perception, 3D UI Design, Visual Comparison, Change Detection
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/10206896
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