Considering agency and data granularity in the design of visualization tools
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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.
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 . ACM , ACM CHI 2018 Conference on Human Factors in Computing Systems , Montréal , Canada , 21/04/18 . DOI: 10.1145/3173574.3174conference
Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems
2018 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/10.1145/3173574.3174
The Ecuadorian Government supports Gonzalo Gabriel Méndez through a SENESCYT scholarship.
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