Abstract | ||
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Teams of specialized experts, such as emergency management planning teams, while making decisions need to efficiently pool domain-specific knowledge, synthesize relevant information, and keep track of collaborators activities at a low interaction cost. This requires tools that allow monitoring both low-level information (e.g., individual actions and external events) and higher-order activities (e.g., how members contribute to groupwork). This paper presents design of CIVIL, a system prototype developed to support map-based decision-making. We report our empirical evaluation of the effects of visualizations on the decision process and the final product. |
Year | DOI | Venue |
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2009 | 10.1145/1531674.1531714 | GROUP |
Keywords | Field | DocType |
external event,domain-specific knowledge,support geo-collaboration,decision process,collaborators activity,relevant information,higher-order activity,final product,information visualization,low-level information,empirical evaluation,emergency management planning team,emergency management,decision support,higher order,cscw | Final product,Information visualization,Computer-supported cooperative work,Computer science,Decision support system,Emergency management,Knowledge management,Human–computer interaction,R-CAST,Decision process | Conference |
Citations | PageRank | References |
9 | 0.66 | 9 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Anna Wu | 1 | 103 | 7.67 |
Xiaolong Zhang | 2 | 278 | 21.91 |
Gregorio Convertino | 3 | 658 | 47.37 |
John M. Carroll | 4 | 4950 | 1233.96 |