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DC poleHodnotaJazyk
dc.contributor.authorAmabili, Lorenzo
dc.contributor.authorGröller, M. Eduard
dc.contributor.authorRaidou, Renata G.
dc.contributor.editorSkala, Václav
dc.date.accessioned2024-07-25T19:37:27Z-
dc.date.available2024-07-25T19:37:27Z-
dc.date.issued2024
dc.identifier.citationWSCG 2024: full papers proceedings: 32. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, p. 57-66.en
dc.identifier.issn2464–4625 (online)
dc.identifier.issn2464–4617 (print)
dc.identifier.urihttp://hdl.handle.net/11025/57377
dc.description.sponsorshipThe paper was partially written in collaboration with the VRVis Competence Center (funded by BMVIT, BMWFW, Styria, SFG, and Vienna Business Agency in the scope of COMET under Grant 854174 managed by FFG).cs_CZ
dc.description.sponsorshipThe paper was partially written in collaboration with the VRVis Competence Center (funded by BMVIT, BMWFW, Styria, SFG, and Vienna Business Agency in the scope of COMET under Grant 854174 managed by FFG).en
dc.format10 scs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherVáclav Skala - UNION Agencyen
dc.rights© Václav Skala - UNION Agencyen
dc.subjectdata-GIFcs
dc.subjectvizualizační vzdělávánícs
dc.subjectúskalí návrhu vizualizacecs
dc.subjectdesignová studiecs
dc.subjectinformační vizualizacecs
dc.titleShow Me the GIFference! Using GIFs as Educational Toolsen
dc.typekonferenční příspěvekcs
dc.typeconferenceObjecten
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedWe investigate the use of data-GIFs, i.e., graphics interchange format files containing short animations, to engage visualization viewers in learning about data visualization design pitfalls. A large number of data visualizations— among which, also several with bad data designs—are generated every day to convey information to lay audiences. To support non-expert viewers in recognizing common visualization design mistakes, we propose data-GIFs. Data GIFs are short educational animations played in automatic repetition with a single core message on how the design flaws of a given visualization can be identified. After defining what bad data visualization design entails, we inform the design requirements for the data-GIFs. We, subsequently, design four variants: two data-GIFs, which use respectively interchangeability and smooth transitions, a static variant with juxtaposition, and a data-video approach with audio. In a controlled user study with 48 participants, we compare the four variants. We demonstrate that interchangeability and smooth transitions effectively support viewers in assessing why elements characterizing bad data visualizations are indeed bad. Yet, smooth transitions are more engaging, and data-videos are more efficient for the identification of differences between bad and good data visualization designsen
dc.subject.translateddata-GIFen
dc.subject.translatedvisualization educationen
dc.subject.translatedvisualization design pitfallsen
dc.subject.translateddesign studyen
dc.subject.translatedinformation visualizationen
dc.identifier.doihttps://doi.org/10.24132/10.24132/CSRN.3401.7
dc.type.statusPeer revieweden
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