Collaborative behavior, performance and engagement with visual analytics tasks using mobile devices

dc.contributor.authorChen, Leien
dc.contributor.authorLiang, Hai-Ningen
dc.contributor.authorLu, Feiyuen
dc.contributor.authorPapangelis, Konstantinosen
dc.contributor.authorMan, Ka L.en
dc.contributor.authorYue, Yongen
dc.contributor.departmentComputer Scienceen
dc.date.accessioned2020-11-30T12:52:09Zen
dc.date.available2020-11-30T12:52:09Zen
dc.date.issued2020-11-22en
dc.date.updated2020-11-29T04:21:07Zen
dc.description.abstractInteractive visualizations are external tools that can support users’ exploratory activities. Collaboration can bring benefits to the exploration of visual representations or visualizations. This research investigates the use of co-located collaborative visualizations in mobile devices, how users working with two different modes of interaction and view (Shared or Non-Shared) and how being placed at various position arrangements (Corner-to-Corner, Face-to-Face, and Side-by-Side) affect their knowledge acquisition, engagement level, and learning efficiency. A user study is conducted with 60 participants divided into 6 groups (2 modes × 3 positions) using a tool that we developed to support the exploration of 3D visual structures in a collaborative manner. Our results show that the shared control and view version in the Side-by-Side position is the most favorable and can improve task efficiency. In this paper, we present the results and a set of recommendations that are derived from them.en
dc.description.versionPublished versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationHuman-centric Computing and Information Sciences. 2020 Nov 22;10(1):47en
dc.identifier.doihttps://doi.org/10.1186/s13673-020-00253-7en
dc.identifier.urihttp://hdl.handle.net/10919/100967en
dc.language.isoenen
dc.rightsCreative Commons Attribution 4.0 Internationalen
dc.rights.holderThe Author(s)en
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.titleCollaborative behavior, performance and engagement with visual analytics tasks using mobile devicesen
dc.title.serialHuman-centric Computing and Information Sciencesen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten
dc.type.dcmitypeStillImageen

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