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arxiv logo>cs> arXiv:2303.17066
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Computer Science > Human-Computer Interaction

arXiv:2303.17066 (cs)
[Submitted on 29 Mar 2023 (v1), last revised 26 Apr 2023 (this version, v3)]

Title:Reading Strategies for Graph Visualizations that Wrap Around in Torus Topology

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Abstract:We investigate reading strategies for node-link diagrams that wrap around the boundaries in a flattened torus topology by examining eye tracking data recorded in a previous controlled study. Prior work showed that torus drawing affords greater flexibility in clutter reduction than traditional node-link representations, but impedes link-and-path exploration tasks, while repeating tiles around boundaries aids comprehension. However, it remains unclear what strategies users apply in different wrapping settings. This is important for design implications for future work on more effective wrapped visualizations for network applications, and cyclic data that could benefit from wrapping. We perform visual-exploratory data analysis of gaze data, and conduct statistical tests derived from the patterns identified. Results show distinguishable gaze behaviors, with more visual glances and transitions between areas of interest in the non-replicated layout. Full-context has more successful visual searches than partial-context, but the gaze allocation indicates that the layout could be more space-efficient.
Subjects:Human-Computer Interaction (cs.HC)
Cite as:arXiv:2303.17066 [cs.HC]
 (orarXiv:2303.17066v3 [cs.HC] for this version)
 https://doi.org/10.48550/arXiv.2303.17066
arXiv-issued DOI via DataCite
Related DOI:https://doi.org/10.1145/3588015.3589841
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Submission history

From: Kun-Ting Chen [view email]
[v1] Wed, 29 Mar 2023 23:53:57 UTC (19,550 KB)
[v2] Fri, 7 Apr 2023 13:23:19 UTC (3,707 KB)
[v3] Wed, 26 Apr 2023 15:29:47 UTC (5,134 KB)
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