Considering agency and data granularity in the design of visualization tools

Gonzalo Gabriel Mendez, Miguel Nacenta, Uta Hinrichs

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Citations (Scopus)
5 Downloads (Pure)

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.
Original languageEnglish
Title of host publicationProceedings of the 2018 CHI Conference on Human Factors in Computing Systems (CHI'18)
Place of PublicationNew York, NY
PublisherACM
Number of pages14
ISBN (Electronic)9781450356206
DOIs
Publication statusPublished - 21 Apr 2018
EventACM CHI 2018 Conference on Human Factors in Computing Systems - Palais de Congrès, Montréal, Canada
Duration: 21 Apr 201826 Apr 2018
Conference number: 36
https://chi2018.acm.org/

Conference

ConferenceACM CHI 2018 Conference on Human Factors in Computing Systems
Abbreviated titleCHI
Country/TerritoryCanada
CityMontréal
Period21/04/1826/04/18
Internet address

Keywords

  • Visualization
  • Constructive visualization
  • iVoLVER
  • Agency
  • Granularity
  • Tool Design
  • Tableau

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