Collaborative Brushing and Linking for Co-located Visual Analytics of Document Collections

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dc.contributor.authorIsenberg, Petraen_US
dc.contributor.authorFisher, Danyelen_US
dc.contributor.editorH.-C. Hege, I. Hotz, and T. Munzneren_US
dc.date.accessioned2014-02-21T19:51:01Z
dc.date.available2014-02-21T19:51:01Z
dc.date.issued2009en_US
dc.description.abstractMany real-world analysis tasks can benefit from the combined efforts of a group of people. Past research has shown that to design visualizations for collaborative visual analytics tasks, we need to support both individual as well as joint analysis activities. We present Cambiera, a tabletop visual analytics tool that supports individual and collaborative information foraging activities in large text document collections. We define collaborative brushing and linking as an awareness mechanism that enables analysts to follow their own hypotheses during collaborative sessions while still remaining aware of the group's activities. With Cambiera, users are able to collaboratively search through documents, maintaining awareness of each others' work and building on each others' findings.en_US
dc.description.number3en_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.description.volume28en_US
dc.identifier.issn1467-8659en_US
dc.identifier.urihttps://doi.org/10.1111/j.1467-8659.2009.01444.xen_US
dc.publisherThe Eurographics Association and Blackwell Publishing Ltd.en_US
dc.titleCollaborative Brushing and Linking for Co-located Visual Analytics of Document Collectionsen_US
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EuroVis09: Eurographics/ IEEE Symposium on Visualization