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Authors: Wouter Castelein ; Zonglin Tian ; Tamara Mchedlidze and Alexandru Telea

Affiliation: Department of Information and Computing Science, Utrecht University, Netherlands

Keyword(s): Multidimensional Projections, Visual Quality Metrics, Perception, User Studies.

Abstract: While 2D projections are established tools for exploring high-dimensional data, the effectiveness of their 3D counterparts is still a matter of debate. In this work, we address this from a multifaceted quality perspective. We first propose a viewpoint-dependent definition of 3D projection quality and show how this captures the visual variability in 3D projections much better than aggregated, single-value, quality metrics. Next, we propose an interactive exploration tool for finding high-quality viewpoints for 3D projections. We use our tool in an user evaluation to gauge how our quality metric correlates with user-perceived quality for a cluster identification task. Our results show that our metric can predict well viewpoints deemed good by users and that our tool increases the users’ preference for 3D projections as compared to classical 2D projections.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Castelein, W.; Tian, Z.; Mchedlidze, T. and Telea, A. (2023). Viewpoint-Based Quality for Analyzing and Exploring 3D Multidimensional Projections. In Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - IVAPP; ISBN 978-989-758-634-7; ISSN 2184-4321, SciTePress, pages 65-76. DOI: 10.5220/0011652800003417

@conference{ivapp23,
author={Wouter Castelein. and Zonglin Tian. and Tamara Mchedlidze. and Alexandru Telea.},
title={Viewpoint-Based Quality for Analyzing and Exploring 3D Multidimensional Projections},
booktitle={Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - IVAPP},
year={2023},
pages={65-76},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011652800003417},
isbn={978-989-758-634-7},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - IVAPP
TI - Viewpoint-Based Quality for Analyzing and Exploring 3D Multidimensional Projections
SN - 978-989-758-634-7
IS - 2184-4321
AU - Castelein, W.
AU - Tian, Z.
AU - Mchedlidze, T.
AU - Telea, A.
PY - 2023
SP - 65
EP - 76
DO - 10.5220/0011652800003417
PB - SciTePress

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