Studying Parallel Coordinates Under Varying Aspect Ratios | TU Wien

Information

Publication Type: Conference Paper
Workgroup(s)/Project(s): not specified
Date: 2025
ISBN: 978-989-758-728-3
Open Access: yes
Location: Porto
Lecturer: Johanna Schmidt
Event: 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP, GRAPP, HUCAPP and IVAPP 2025)
Editor: Bashford-Rogers, Thomas and Meneveaux, Daniel and Ammi, Mehdi and Ziat, Mounia and Jänicke, Stefan and Purchase, Helen and Radeva, Petia and Furnari, Antonino and Bouatouch, Kadi and Augusto Sousa, A.
DOI: 10.5220/0013379300003912
Booktitle: Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications : Volume 1 GRAPP, HUCAPP and IVAPP
Pages: 8
Conference date: 26. February 2025 – 28. February 2025
Pages: 992 – 999
Keywords: Aspect Ratio, Information Visualization, Parallel Coordinates, Visualization Literacy

Abstract

In constraint layout environments like dashboards and multi-view applications, designers have less freedom in selecting the correct aspect ratios for plots. Especially for web-based, responsive dashboards, designers have little to no control over the layout and size of the presented plots. The effect of aspect ratios on the readability of line charts and scatter plots has already been studied. However, more evidence is needed for parallel coordinates, where line slopes indicate correlations between variables. This paper presents a first step towards understanding the effect of aspect ratios on the readability of parallel coordinates. We present a statistical analysis of aspect ratio effects and summarize the results of a quantitative user study on user literacy under different aspect ratios. The statistical analysis revealed that angle parameters stay more homogeneous when changing the plot size in case landscape orientation is used. The user study showed that human observers perform well when judging correlation based on the angles under differences between plot width and height.

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BibTeX

@inproceedings{meka-2025-spc,
  title =      "Studying Parallel Coordinates Under Varying Aspect Ratios",
  author =     "Leon Meka and Mirjam Kronsteiner and Johanna Schmidt",
  year =       "2025",
  abstract =   "In constraint layout environments like dashboards and
               multi-view applications, designers have less freedom in
               selecting the correct aspect ratios for plots. Especially
               for web-based, responsive dashboards, designers have little
               to no control over the layout and size of the presented
               plots. The effect of aspect ratios on the readability of
               line charts and scatter plots has already been studied.
               However, more evidence is needed for parallel coordinates,
               where line slopes indicate correlations between variables.
               This paper presents a first step towards understanding the
               effect of aspect ratios on the readability of parallel
               coordinates. We present a statistical analysis of aspect
               ratio effects and summarize the results of a quantitative
               user study on user literacy under different aspect ratios.
               The statistical analysis revealed that angle parameters stay
               more homogeneous when changing the plot size in case
               landscape orientation is used. The user study showed that
               human observers perform well when judging correlation based
               on the angles under differences between plot width and
               height.",
  isbn =       "978-989-758-728-3",
  location =   "Porto",
  event =      "20th International Joint Conference on Computer Vision,
               Imaging and Computer Graphics Theory and Applications
               (VISIGRAPP, GRAPP, HUCAPP and IVAPP 2025)",
  editor =     "Bashford-Rogers, Thomas and Meneveaux, Daniel and Ammi,
               Mehdi and Ziat, Mounia and J\"{a}nicke, Stefan and Purchase,
               Helen and Radeva, Petia and Furnari, Antonino and Bouatouch,
               Kadi and Augusto Sousa, A.",
  doi =        "10.5220/0013379300003912",
  booktitle =  "Proceedings of the 20th International Joint Conference on
               Computer Vision, Imaging and Computer Graphics Theory and
               Applications : Volume 1 GRAPP, HUCAPP and IVAPP",
  pages =      "8",
  pages =      "992--999",
  keywords =   "Aspect Ratio, Information Visualization, Parallel
               Coordinates, Visualization Literacy",
  URL =        "https://www.cg.tuwien.ac.at/research/publications/2025/meka-2025-spc/",
}