Collaborative synthesis of visual analytic results

Research output: Chapter in Book/Report/Conference proceedingConference contribution

75 Citations (SciVal)

Abstract

Visual analytic tools allow analysts to generate large collections of useful analytical results. We anticipate that analysts in most real world situations will draw from these collections when working together to solve complicated problems. This indicates a need to understand how users synthesize multiple collections of results. This paper reports the results of collaborative synthesis experiments conducted with expert geographers and disease biologists. Ten participants were worked in pairs to complete a simulated real-world synthesis task using artifacts printed on cards on a large, paper-covered workspace. Experiment results indicate that groups use a number of different approaches to collaborative synthesis, and that they employ a variety of organizational metaphors to structure their information. It is further evident that establishing common ground and role assignment are critical aspects of collaborative synthesis. We conclude with a set of general design guidelines for collaborative synthesis support tools.

Original languageEnglish (US)
Title of host publicationVAST'08 - IEEE Symposium on Visual Analytics Science and Technology, Proceedings
Pages67-74
Number of pages8
DOIs
StatePublished - 2008
EventIEEE Symposium on Visual Analytics Science and Technology, VAST'08 - Columbus, OH, United States
Duration: Oct 21 2008Oct 23 2008

Publication series

NameVAST'08 - IEEE Symposium on Visual Analytics Science and Technology, Proceedings

Other

OtherIEEE Symposium on Visual Analytics Science and Technology, VAST'08
Country/TerritoryUnited States
CityColumbus, OH
Period10/21/0810/23/08

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Human-Computer Interaction
  • Software

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