Business Intelligence

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

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Executive Summary

Many 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, one needs to support both individual as well as joint analysis activities. The paper presents Cambiera, a tabletop visual analytics tool that supports individual and collaborative information foraging activities in large text document collections. The paper defines 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.

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