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Many At Once: Capturing Intentions to Create And Use Many Views At Once In Large Display Environments
Authors: Aurisano, J., Kumar, A., Alsaiari, A., Di Eugenio, B., Johnson, A.E.
Publication: Eurographics Conference on Visualization (EuroVis) 2020, vol 39, no 3, M. Gleicher, T. Landesberger von Antburg, and I. Viola URL: https://diglib.eg.org/handle/10.1111/cgf13976 This paper describes results from an observational, exploratory study of visual data exploration in a large, multi-view, flexible canvas environment. Participants were provided with a set of data exploration sub-tasks associated with a local crime dataset and were instructed to pose questions to a remote mediator who would respond by generating and organizing visualizations on the large display. We observed that participants frequently posed requests to cast a net around one or several subsets of the data or a set of data attributes. They accomplished this directly and by utilizing existing views in unique ways, including by requesting to copy and pivot a group of views collectively and posing a set of parallel requests on target views expressed in one command. These observed actions depart from multi-view flexible canvas environments that typically provide interfaces in support of generating one view at a time or actions that operate on one view at a time. We describe how participants used these “cast-a-net” requests for tasks that spanned more than one view and describe design considerations for multi-view environments that would support the observed multi-view generation actions. Index Terms: Human-centered computing - Empirical studies in visualization This work was supported initially by NSF award IIS 1445751 and currently by NSF award CNS 1625941. https://doi.org/10.1111/cgf.13976 Date: May 25, 2020 - May 29, 2020 Document: View PDF |
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