Many At Once: Capturing Intentions to Create And Use Many Views At Once In Large Display Environments

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dc.contributor.authorAurisano, Jillianen_US
dc.contributor.authorKumar, Abhinaven_US
dc.contributor.authorAlsaiari, Abeeren_US
dc.contributor.authorEugenio, Barbara Dien_US
dc.contributor.authorJohnson, Andrew E.en_US
dc.contributor.editorViola, Ivan and Gleicher, Michael and Landesberger von Antburg, Tatianaen_US
dc.date.accessioned2020-05-24T13:00:36Z
dc.date.available2020-05-24T13:00:36Z
dc.date.issued2020
dc.description.abstractThis 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.en_US
dc.description.number3
dc.description.sectionheadersUser-Centered Visual Design and Interaction
dc.description.seriesinformationComputer Graphics Forum
dc.description.volume39
dc.identifier.doi10.1111/cgf.13976
dc.identifier.issn1467-8659
dc.identifier.pages229-240
dc.identifier.urihttps://doi.org/10.1111/cgf.13976
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/cgf13976
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/]
dc.subjectHuman centered computing
dc.subjectEmpirical studies in visualization
dc.titleMany At Once: Capturing Intentions to Create And Use Many Views At Once In Large Display Environmentsen_US
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