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Considering agency and data granularity in the design of visualization tools
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dc.contributor.author | Mendez, Gonzalo Gabriel | |
dc.contributor.author | Nacenta, Miguel | |
dc.contributor.author | Hinrichs, Uta | |
dc.date.accessioned | 2018-02-12T12:30:13Z | |
dc.date.available | 2018-02-12T12:30:13Z | |
dc.date.issued | 2018-04-21 | |
dc.identifier | 252233446 | |
dc.identifier | 4c464433-5554-4c67-858a-36c4b68647e3 | |
dc.identifier | 85046972454 | |
dc.identifier | 000509673107073 | |
dc.identifier.citation | Mendez , 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/10.1145/3173574.3174212 | en |
dc.identifier.citation | conference | en |
dc.identifier.isbn | 9781450356206 | |
dc.identifier.other | ORCID: /0000-0002-9864-9654/work/43873413 | |
dc.identifier.uri | https://hdl.handle.net/10023/12702 | |
dc.description | The Ecuadorian Government supports Gonzalo Gabriel Méndez through a SENESCYT scholarship. | en |
dc.description.abstract | Previous 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.extent | 14 | |
dc.format.extent | 41127636 | |
dc.language.iso | eng | |
dc.publisher | ACM | |
dc.relation.ispartof | Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (CHI'18) | en |
dc.subject | Visualization | en |
dc.subject | Constructive visualization | en |
dc.subject | iVoLVER | en |
dc.subject | Agency | en |
dc.subject | Granularity | en |
dc.subject | Tool Design | en |
dc.subject | Tableau | en |
dc.subject | QA75 Electronic computers. Computer science | en |
dc.subject | NDAS | en |
dc.subject.lcc | QA75 | en |
dc.title | Considering agency and data granularity in the design of visualization tools | en |
dc.type | Conference item | en |
dc.contributor.institution | University of St Andrews. School of Computer Science | en |
dc.identifier.doi | 10.1145/3173574.3174212 |
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