<i>Does This Have a Particular Meaning?</i> Interactive Pattern Explanation for Network Visualizations

This paper presents an interactive technique to explain visual patterns in network visualizations to analysts who do not understand these visualizations and who are learning to read them. Learning a visualization requires mastering its visual grammar and decoding information presented through visual marks, graphical encodings, and spatial configurations. To help people learn network visualization designs and extract meaningful information, we introduce the concept of interactive pattern explanation that allows viewers to select an arbitrary area in a visualization, then automatically mines the underlying data patterns, and explains both visual and data patterns present in the viewer's selection. In a qualitative and a quantitative user study with a total of 32 participants, we compare interactive pattern explanations to textual-only and visual-only (cheatsheets) explanations. Our results show that interactive explanations increase learning of i) unfamiliar visualizations, ii) patterns in network science, and iii) the respective network terminology.

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Publication Details

Journal
IEEE Transactions on Visualization and Computer Graphics
Published
2024-09-16
DOI
https://doi.org/10.1109/tvcg.2024.3456192
Citations
3
Primary Topic
Data Visualization and Analytics
Type
article
Field-Weighted Citation Impact
0.75

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article

Does This Have a Particular Meaning? Interactive Pattern Explanation for Network Visualizations

Xinhuan Shu, Fanny Chevalier, Alexis Pister, Benjamin Bach et al.
3 citations
IEEE Transactions on Visualization and Computer Graphics
Data Visualization and Analytics
0.75
article

Does This Have a Particular Meaning? Interactive Pattern Explanation for Network Visualizations

Xinhuan Shu, Fanny Chevalier, Alexis Pister, Benjamin Bach, Junxiu Tang
article en
3 citations

Abstract

This paper presents an interactive technique to explain visual patterns in network visualizations to analysts who do not understand these visualizations and who are learning to read them. Learning a visualization requires mastering its visual grammar and decoding information presented through visual marks, graphical encodings, and spatial configurations. To help people learn network visualization designs and extract meaningful information, we introduce the concept of interactive pattern explanation that allows viewers to select an arbitrary area in a visualization, then automatically mines the underlying data patterns, and explains both visual and data patterns present in the viewer's selection. In a qualitative and a quantitative user study with a total of 32 participants, we compare interactive pattern explanations to textual-only and visual-only (cheatsheets) explanations. Our results show that interactive explanations increase learning of i) unfamiliar visualizations, ii) patterns in network science, and iii) the respective network terminology.

IEEE Transactions on Visualization and Computer GraphicsVol. 31(1)
University of Toronto (CA), Canada Research Chairs (CA), Edinburgh College (GB), Zhejiang University (CN), Newcastle University (GB), University of Edinburgh (GB)
Engineering and Physical Sciences Research Council
Quality Education
Openalex Percentile: Top 28%
Data Visualization and Analytics
0.75
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