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dc.contributor.authorMendez, Gonzalo Gabriel
dc.contributor.authorNacenta, Miguel
dc.contributor.authorHinrichs, Uta
dc.date.accessioned2018-02-12T12:30:13Z
dc.date.available2018-02-12T12:30:13Z
dc.date.issued2018-04-21
dc.identifier.citationMendez , G G , Nacenta , M & Hinrichs , U 2018 , Considering agency and data granularity in the design of visualization tools . in Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (CHI'18) . , 638 , ACM , New York, NY , ACM CHI 2018 Conference on Human Factors in Computing Systems , Montréal , Canada , 21/04/18 . https://doi.org/10.1145/3173574.3174212en
dc.identifier.citationconferenceen
dc.identifier.isbn9781450356206
dc.identifier.otherPURE: 252233446
dc.identifier.otherPURE UUID: 4c464433-5554-4c67-858a-36c4b68647e3
dc.identifier.otherScopus: 85046972454
dc.identifier.otherORCID: /0000-0002-9864-9654/work/43873413
dc.identifier.otherWOS: 000509673107073
dc.identifier.urihttp://hdl.handle.net/10023/12702
dc.descriptionThe Ecuadorian Government supports Gonzalo Gabriel Méndez through a SENESCYT scholarship.en
dc.description.abstractPrevious research has identified trade-offs when it comes to designing visualization tools. While constructive “bottom-up” tools promote a hands-on, user-driven design process that enables a deep understanding and control of the visual mapping, automated tools are more efficient and allow people to rapidly explore complex alternative designs, often at the cost of transparency. We investigate how to design visualization tools that support a user-driven, transparent design process while enabling efficiency and automation, through a series of design workshops that looked at how both visualization experts and novices approach this problem. Participants produced a variety of solutions that range from example-based approaches expanding constructive visualization to solutions in which the visualization tool infers solutions on behalf of the designer, e.g., based on data attributes. On a higher level, these findings highlight agency and granularity as dimensions that can guide the design of visualization tools in this space.
dc.format.extent14
dc.language.isoeng
dc.publisherACM
dc.relation.ispartofProceedings of the 2018 CHI Conference on Human Factors in Computing Systems (CHI'18)en
dc.rights2018 Copyright held by the owner/author(s). This is the authors' version of the work. The copy of record is available through the ACM with DOI: https://doi.org/10.1145/3173574.3174en
dc.subjectVisualizationen
dc.subjectConstructive visualizationen
dc.subjectiVoLVERen
dc.subjectAgencyen
dc.subjectGranularityen
dc.subjectTool Designen
dc.subjectTableauen
dc.subjectQA75 Electronic computers. Computer scienceen
dc.subjectNDASen
dc.subject.lccQA75en
dc.titleConsidering agency and data granularity in the design of visualization toolsen
dc.typeConference itemen
dc.description.versionPostprinten
dc.contributor.institutionUniversity of St Andrews.School of Computer Scienceen
dc.identifier.doihttps://doi.org/10.1145/3173574.3174212


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