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Authors: Kevin McGurgan 1 ; Elena Fedoroksaya 2 ; Tina M. Sutton 1 and Andrew M. Herbert 1

Affiliations: 1 Department of Psychology, Rochester Institute of Technology, Rochester, NY, U.S.A. ; 2 Integrated Science Academy, Rochester Institute of Technology, Rochester, NY, U.S.A.

Keyword(s): Graph Design, Data-ink-Ratio, Data Visualization.

Abstract: Graphical depictions of data are common but there is little empirical work that has examined how graph design principles are instantiated by graph makers. The data-ink ratio is one popular measure of graphical information content, where the “ink” related to data is divided by the total amount of “ink” in the graph. Expert interviews were conducted to examine graph use, creation, and opinions about the data-ink ratio concept. Interviewees had a variety of opinions and preferences with regard to graph design, many of which were dependent upon the specific circumstances of presentation. Most interviewees did not believe that high data-ink graph designs were superior. The results suggest that arguments regarding the data-ink ratio deal with the subjective issue of graph aesthetics.

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Paper citation in several formats:
McGurgan, K.; Fedoroksaya, E.; Sutton, T. and Herbert, A. (2021). Graph Design: The Data-ink Ratio and Expert Users. In Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021) - IVAPP; ISBN 978-989-758-488-6; ISSN 2184-4321, SciTePress, pages 188-194. DOI: 10.5220/0010263801880194

@conference{ivapp21,
author={Kevin McGurgan. and Elena Fedoroksaya. and Tina M. Sutton. and Andrew M. Herbert.},
title={Graph Design: The Data-ink Ratio and Expert Users},
booktitle={Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021) - IVAPP},
year={2021},
pages={188-194},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010263801880194},
isbn={978-989-758-488-6},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021) - IVAPP
TI - Graph Design: The Data-ink Ratio and Expert Users
SN - 978-989-758-488-6
IS - 2184-4321
AU - McGurgan, K.
AU - Fedoroksaya, E.
AU - Sutton, T.
AU - Herbert, A.
PY - 2021
SP - 188
EP - 194
DO - 10.5220/0010263801880194
PB - SciTePress

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