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Investigating Crossing Perception in 3D Graph Visualisation (Poster Abstract)

Authors Ying Zhang , Niklas Gröne , Giuseppe Liotta , Falk Schreiber , Karsten Klein

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Subject Classification

ACM Subject Classification
  • Human-centered computing → Empirical studies in visualization
  • Human-centered computing → Virtual reality
  • Human-centered computing → Graph drawings
  • Human-centered computing → Visual analytics
Keywords
  • Graph Perception
  • Stereoscopic 3D Graph Visualisation
  • Crossing Configurations

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Abstract

Human perception and understanding of graph drawings is influenced by a variety of impact factors for which quality measures such as the number of crossings are used as a proxy indicator. For the more and more common stereoscopic 3D (S3D) graph visualisations, evidence is required to better understand graph perception and its relation to quality measures. We investigate the perception of crossing configurations in S3D graph visualisations and present the results of a study.

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Ying Zhang, Niklas Gröne, Giuseppe Liotta, Falk Schreiber, and Karsten Klein. Investigating Crossing Perception in 3D Graph Visualisation (Poster Abstract). In 33rd International Symposium on Graph Drawing and Network Visualization (GD 2025). Leibniz International Proceedings in Informatics (LIPIcs), Volume 357, pp. 52:1-52:5, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2025) https://doi.org/10.4230/LIPIcs.GD.2025.52

Author Details

Ying Zhang
  • University of Konstanz, Germany
Niklas Gröne
  • University of Konstanz, Germany
Giuseppe Liotta
  • University of Perugia, Italy
Falk Schreiber
  • University of Konstanz, Germany
  • Monash University, Melbourne, Australia
Karsten Klein
  • University of Konstanz, Germany

Funding

We acknowledge funding by DFG under Germany’s Excellence Strategy – EXC 2117 – 422037984, and DFG project ID 251654672 – TRR 161; we also acknowledge funding by MUR PRIN Project no. 2022TS4Y3N –1405 EXPAND and by MUR PON Project ARS01 00540 RASTA.

References

  1. Stefan P Feyer, Bruno Pinaud, Stephen Kobourov, Nicolas Brich, Michael Krone, Andreas Kerren, Michael Behrisch, Falk Schreiber, and Karsten Klein. 2D, 2.5 D, or 3D? an exploratory study on multilayer network visualisations in virtual reality. IEEE Transactions on Visualization and Computer Graphics, 30(1):469-479, 2023. URL: https://doi.org/10.1109/TVCG.2023.3327402.
  2. Nicolas Greffard, Fabien Picarougne, and Pascale Kuntz. Beyond the classical monoscopic 3D in graph analytics: An experimental study of the impact of stereoscopy. In 2014 IEEE VIS International Workshop on 3DVis (3DVis), pages 19-24, 2014. URL: https://doi.org/10.1109/3DVis.2014.7160095.
  3. Weidong Huang, Seok-Hee Hong, and Peter Eades. Effects of Crossing Angles. In 2008 IEEE Pacific Visualization Symposium, pages 41-46, 2008. URL: https://doi.org/10.1109/PACIFICVIS.2008.4475457.
  4. Lucas Joos, Maximilian T Fischer, Julius Rauscher, Daniel A Keim, Tim Dwyer, Falk Schreiber, and Karsten Klein. Visual network analysis in immersive environments: A survey. arXiv preprint arXiv:2501.08500, 2025. URL: https://doi.org/10.48550/arXiv.2501.08500.
  5. Wilhelm Kerle-Malcharek, Stefan P. Feyer, Falk Schreiber, and Karsten Klein. Gav-vr : an extensible framework for graph analysis and visualisation in virtual reality. In Jean-Marie Normand, editor, ICAT-EGVE 2023, pages 131-139. The Eurographics Association, 2023. URL: https://doi.org/10.2312/egve.20231321.
  6. Stephen G. Kobourov, Sergey Pupyrev, and Bahador Saket. Are crossings important for drawing large graphs? In Christian Duncan and Antonios Symvonis, editors, Graph Drawing, pages 234-245. Springer Berlin Heidelberg, 2014. URL: https://doi.org/10.1007/978-3-662-45803-7_20.
  7. Oh-Hyun Kwon, Chris Muelder, Kyungwon Lee, and Kwan-Liu Ma. A study of layout, rendering, and interaction methods for immersive graph visualization. IEEE Trans. Vis. Comput. Graph., 22(7):1802-1815, 2016. URL: https://doi.org/10.1109/TVCG.2016.2520921.
  8. M.E.J. Newman and D.J. Watts. Renormalization group analysis of the small-world network model. Physics Letters A, 263(4):341-346, 1999. URL: https://doi.org/10.1016/S0375-9601(99)00757-4.
  9. Helen Purchase. Which aesthetic has the greatest effect on human understanding? In Giuseppe Di Battista, editor, Graph Drawing, pages 248-261. Springer Berlin Heidelberg, 1997. URL: https://doi.org/10.1007/3-540-63938-1_67.
  10. J. Sorger, A. Arleo, P. Kán, W. Knecht, and M. Waldner. Egocentric network exploration for immersive analytics. Comput. Graph. Forum, 40(7):241-252, 2021. URL: https://doi.org/10.1111/cgf.14417.
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