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dc.contributor.authorGraniczkowska, Cynthiaen_US
dc.contributor.authorPelchmann, Lauraen_US
dc.contributor.authorLandesberger, Tatiana vonen_US
dc.contributor.authorPohl, Margiten_US
dc.contributor.editorGuthe, Michaelen_US
dc.contributor.editorGrosch, Thorstenen_US
dc.date.accessioned2023-09-25T11:38:05Z
dc.date.available2023-09-25T11:38:05Z
dc.date.issued2023
dc.identifier.isbn978-3-03868-232-5
dc.identifier.urihttps://doi.org/10.2312/vmv.20231232
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/vmv20231232
dc.description.abstractThis paper presents a comprehensive investigation of the factors that influence visual comparison in colored node-link diagrams. We conducted a user study in which participants were asked to identify differences in pairs of directed acyclic graphs (DAGs) under time constraints. Previous studies focused on the perception of differences in node-link diagrams without coloring. Our results show that the individual coloring of nodes and edges significantly affects the detection of differences. We were able to confirm previous results, such as the influence of graph density, and also found that uniform coloring in certain areas of the graphs plays an important role in finding differences. Consequently, the results of this study hold potential for developing better comparative visualizations for diverse applications, such as finance or biology.en_US
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCCS Concepts: Human-centered computing → Visualization; Information visualization; Visualization design and evaluation methods
dc.subjectHuman
dc.subjectcentered computing → Visualization
dc.subjectInformation visualization
dc.subjectVisualization design and evaluation methods
dc.titleFactors Influencing Visual Comparison of Colored Directed Acyclic Graphsen_US
dc.description.seriesinformationVision, Modeling, and Visualization
dc.description.sectionheadersImage Visualization and Analysis
dc.identifier.doi10.2312/vmv.20231232
dc.identifier.pages107-114
dc.identifier.pages8 pages


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Attribution 4.0 International License
Except where otherwise noted, this item's license is described as Attribution 4.0 International License