Validation of Quantitative Measures for Edge Bundling by Comparing with Human Feeling

dc.contributor.authorSaga, Ryosukeen_US
dc.contributor.editorAnna Puig and Renata Raidouen_US
dc.date.accessioned2018-06-02T17:55:47Z
dc.date.available2018-06-02T17:55:47Z
dc.date.issued2018
dc.description.abstractThis paper describes an analysis of the relationship between human cognition and quantitative measures for a visualization method called edge bundling.Aesthetic rules-based measures, namely, mean edge length difference (MELD), normalized MELD (NMELD), mean occupation area, and edge density distribution (EDD), for evaluating and quantifying the result of edge bundling are proposed. However, comparing these measures with human cognition has not been analyzed. Therefore, a questionnaire survey with approximately 40 respondents was conducted to clarify the relationship between human cognition and these evaluation measures. Results showed that NMELD, MELD, and EDD demonstrate robust and significant correlations with human cognition.en_US
dc.description.sectionheadersPosters
dc.description.seriesinformationEuroVis 2018 - Posters
dc.identifier.doi10.2312/eurp.20181121
dc.identifier.isbn978-3-03868-065-9
dc.identifier.pages25-27
dc.identifier.urihttps://doi.org/10.2312/eurp.20181121
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/eurp20181121
dc.publisherThe Eurographics Associationen_US
dc.subjectHuman
dc.subjectcentered computing
dc.subjectVisualization design and evaluation methods
dc.subjectGraph drawings
dc.titleValidation of Quantitative Measures for Edge Bundling by Comparing with Human Feelingen_US
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