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dc.contributor.authorRiehmann, Patricken_US
dc.contributor.authorSchädler, Andreasen_US
dc.contributor.authorHarder, Jannisen_US
dc.contributor.authorHerpel, Jakoben_US
dc.contributor.authorFroehlich, Bernden_US
dc.contributor.editorKerren, Andreas and Garth, Christoph and Marai, G. Elisabetaen_US
dc.date.accessioned2020-05-24T13:51:57Z
dc.date.available2020-05-24T13:51:57Z
dc.date.issued2020
dc.identifier.isbn978-3-03868-106-9
dc.identifier.urihttps://doi.org/10.2312/evs.20201042
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/evs20201042
dc.description.abstractWe present an interactive visualization aiding users in making informed decisions about large product data sets consisting of quantitative and categorical attributes. Our approach tries to overcome common problems between parallel attribute axes, for instance limited horizontal space or clutter, by introducing novel visual concepts such as proxy axes, fusion axes, and hybrids of set-based and individual axis connections. A proxy axis represents a group of semantically related attributes, which can be interactively explored and seamlessly integrated into the display. Fusion axes allow users to reduce the number of axes by merging categorical+categorical or categorical+quantitative attribute axes. Set-based or individual connections between axis pairs are chosen according to the involved attribute types. The pilot study and expert reviews showed that these novel concepts are understood, considered to be very useful and favored over up-to-date webshop interfaces.en_US
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/]
dc.subjectHuman centered computing
dc.subjectVisualization techniques
dc.subjectInformation visualization
dc.subjectVisualization theory
dc.subjectconcepts and paradigms
dc.titleConfiguration Finder: A Tidy Visual Interface for Effective Faceted Searchen_US
dc.description.seriesinformationEuroVis 2020 - Short Papers
dc.description.sectionheadersAnalytics and Evaluation
dc.identifier.doi10.2312/evs.20201042
dc.identifier.pages19-23


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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