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|a 10.1109/TVCG.2023.3326590
|2 doi
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|a eng
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| 100 |
1 |
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|a Fygenson, Racquel
|e verfasserin
|4 aut
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| 245 |
1 |
4 |
|a The Arrangement of Marks Impacts Afforded Messages
|b Ordering, Partitioning, Spacing, and Coloring in Bar Charts
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|c 2024
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|a Text
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|a Date Revised 27.12.2023
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|a published: Print-Electronic
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|a Citation Status PubMed-not-MEDLINE
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|a Data visualizations present a massive number of potential messages to an observer. One might notice that one group's average is larger than another's, or that a difference in values is smaller than a difference between two others, or any of a combinatorial explosion of other possibilities. The message that a viewer tends to notice - the message that a visualization 'affords' - is strongly affected by how values are arranged in a chart, e.g., how the values are colored or positioned. Although understanding the mapping between a chart's arrangement and what viewers tend to notice is critical for creating guidelines and recommendation systems, current empirical work is insufficient to lay out clear rules. We present a set of empirical evaluations of how different messages-including ranking, grouping, and part-to-whole relationships-are afforded by variations in ordering, partitioning, spacing, and coloring of values, within the ubiquitous case study of bar graphs. In doing so, we introduce a quantitative method that is easily scalable, reviewable, and replicable, laying groundwork for further investigation of the effects of arrangement on message affordances across other visualizations and tasks. Pre-registration and all supplemental materials are available at https://osf.io/np3q7 and https://osf.io/bvy95, respectively
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|a Journal Article
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| 700 |
1 |
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|a Franconeri, Steven
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Bertini, Enrico
|e verfasserin
|4 aut
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| 773 |
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|i Enthalten in
|t IEEE transactions on visualization and computer graphics
|d 1996
|g 30(2023), 1 vom: 20. Jan., Seite 1008-1018
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|u http://dx.doi.org/10.1109/TVCG.2023.3326590
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