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dc.contributor.authorMendez, Gonzalo Gabriel
dc.contributor.authorHinrichs, Uta
dc.contributor.authorNacenta, Miguel
dc.date.accessioned2017-01-17T11:30:22Z
dc.date.available2017-01-17T11:30:22Z
dc.date.issued2017-05-02
dc.identifier.citationMendez , G G , Hinrichs , U & Nacenta , M 2017 , Bottom-up vs. top-down : trade-offs in efficiency, understanding, freedom and creativity with InfoVis tools . in Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems (CHI '17) . ACM , New York , pp. 841-852 , ACM CHI 2017 Conference on Human Factors in Computing Systems , Denver , United States , 6/05/17 . https://doi.org/10.1145/3025453.3025942en
dc.identifier.citationconferenceen
dc.identifier.isbn9781450346559
dc.identifier.otherPURE: 248903012
dc.identifier.otherPURE UUID: 494f6379-9cb4-4456-8cbb-f9352fcbfc5a
dc.identifier.otherScopus: 85034791553
dc.identifier.otherORCID: /0000-0002-9864-9654/work/34034527
dc.identifier.otherWOS: 000426970500074
dc.identifier.urihttp://hdl.handle.net/10023/10118
dc.description.abstractThe emergence of tools that support fast-and-easy visualization creation by non-experts has made the benefits of InfoVis widely accessible. Key features of these tools include attribute-level operations, automated mappings, and visualization templates. However, these features shield people from lower-level visualization design steps, such as the specific mapping of data points to visuals. In contrast, recent research promotes constructive visualization where individual data units and visuals are directly manipulated. We present a qualitative study comparing people's visualization processes using two visualization tools: one promoting a top-down approach to visualization construction (Tableau Desktop) and one implementing a bottom-up constructive visualization approach (iVoLVER). Our results show how the two approaches influence: 1) the visualization process, 2) decisions on the visualization design, 3) the feeling of control and authorship, and 4) the willingness to explore alternative designs. We discuss the complex trade-offs between the two approaches and outline considerations for designing better visualization tools.
dc.language.isoeng
dc.publisherACM
dc.relation.ispartofProceedings of the 2017 CHI Conference on Human Factors in Computing Systems (CHI '17)en
dc.rights© 2017, the Author(s). This work has been made available online in accordance with the publisher’s policies. This is the author created, accepted version manuscript following peer review and may differ slightly from the final published version. The final published version of this work is available at dl.acm.org / https://doi.org/10.1145/3025453.3025942en
dc.subjectInformation visualizationen
dc.subjectiVoLVERen
dc.subjectTableau Desktopen
dc.subjectVisualization toolsen
dc.subjectTools for non-expertsen
dc.subjectVisual languagesen
dc.subjectVisual programmingen
dc.subjectTop-down vs bottom-up designen
dc.subjectObservational studiesen
dc.subjectVisualization novicesen
dc.subjectConstructive visualizationen
dc.subjectQA75 Electronic computers. Computer scienceen
dc.subjectQA76 Computer softwareen
dc.subjectZ665 Library Science. Information Scienceen
dc.subjectNDASen
dc.subjectBDCen
dc.subject.lccQA75en
dc.subject.lccQA76en
dc.subject.lccZ665en
dc.titleBottom-up vs. top-down : trade-offs in efficiency, understanding, freedom and creativity with InfoVis toolsen
dc.typeConference itemen
dc.description.versionPostprinten
dc.contributor.institutionUniversity of St Andrews.School of Computer Scienceen
dc.identifier.doihttps://doi.org/10.1145/3025453.3025942
dc.identifier.urlhttps://ivolver.cs.st-andrews.ac.uk/en


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