The Effect of Visual Aids on Reading Numeric Data Tables

Data tables are one of the most common ways in which people encounter data. Although mostly built with text and numbers, data tables have a spatial layout and often exhibit visual elements meant to facilitate their reading. Surprisingly, there is an empirical knowledge gap on how people read tables and how different visual aids affect people's reading of tables. In this work, we seek to address this vacuum through a controlled study. We asked participants to repeatedly perform four different tasks with four table representation conditions (plain tables, tables with zebra striping, tables with cell background color encoding cell value, and tables with in-cell bars with lengths encoding cell value). We analyzed completion time, error rate, gaze-tracking data, mouse movement and participant preferences. We found that color and bar encodings help for finding maximum values. For a more complex task (comparison of proportional differences) color and bar helped less than zebra striping. We also characterize typical human behavior for the four tasks. These findings inform the design of tables and research directions for improving presentation of data in tabular form.

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Publication Details

Journal
IEEE Transactions on Visualization and Computer Graphics
Published
2024-09-09
DOI
https://doi.org/10.1109/tvcg.2024.3456403
Citations
2
Primary Topic
Visual and Cognitive Learning Processes
Type
article
Field-Weighted Citation Impact
1.02
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article

The Effect of Visual Aids on Reading Numeric Data Tables

Charles Périn, Miguel A. Nacenta, Yongfeng Ji
2 citations
IEEE Transactions on Visualization and Computer Graphics
Visual and Cognitive Learning Processes
1.02
article

The Effect of Visual Aids on Reading Numeric Data Tables

Charles Périn, Miguel A. Nacenta, Yongfeng Ji
article en
2 citations

Abstract

Data tables are one of the most common ways in which people encounter data. Although mostly built with text and numbers, data tables have a spatial layout and often exhibit visual elements meant to facilitate their reading. Surprisingly, there is an empirical knowledge gap on how people read tables and how different visual aids affect people's reading of tables. In this work, we seek to address this vacuum through a controlled study. We asked participants to repeatedly perform four different tasks with four table representation conditions (plain tables, tables with zebra striping, tables with cell background color encoding cell value, and tables with in-cell bars with lengths encoding cell value). We analyzed completion time, error rate, gaze-tracking data, mouse movement and participant preferences. We found that color and bar encodings help for finding maximum values. For a more complex task (comparison of proportional differences) color and bar helped less than zebra striping. We also characterize typical human behavior for the four tasks. These findings inform the design of tables and research directions for improving presentation of data in tabular form.

IEEE Transactions on Visualization and Computer GraphicsVol. 31(1)
University of Victoria (CA)
Quality Education
Openalex Percentile: Top 21%
Visual and Cognitive Learning Processes
1.02
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