Evaluating Perceptual Judgements on 3D Printed Bar Charts

Graphical design principles typically recommend minimizing the dimensionality of a visualization - for instance, using only 2 dimensions for bar charts rather than providing a 3D rendering, because this extra complexity may result in a decrease in accuracy. This advice has been oft repeated, but the...

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Bibliographic Details
Published inJournal of Data Science Vol. 22; no. 2; pp. 176 - 190
Main Authors Wiederich, Tyler, VanderPlas, Susan
Format Journal Article
LanguageEnglish
Published 中華資料採礦協會 2024
Subjects
3D bar charts
3D printing
graphics
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ISSN1683-8602
1680-743X
1683-8602
DOI10.6339/24-JDS1131

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Summary:Graphical design principles typically recommend minimizing the dimensionality of a visualization - for instance, using only 2 dimensions for bar charts rather than providing a 3D rendering, because this extra complexity may result in a decrease in accuracy. This advice has been oft repeated, but the underlying experimental evidence is focused on fixed 2D projections of 3D charts. In this paper, we describe an experiment which attempts to establish whether the decrease in accuracy extends to 3D virtual renderings and 3D printed charts. We replicate the grouped bar chart comparisons in the 1984 Cleveland ＆ McGill study, assessing the accuracy of numerical estimates using different types of 3D and 2D renderings.
ISSN:1683-8602
1680-743X
1683-8602
DOI:10.6339/24-JDS1131