CIVIL: Support geo-collaboration with information visualization

Anna Wu; Xiaolong Zhang; Gregorio Convertino; John Carroll

doi:10.1145/1531674.1531714

CIVIL: Support geo-collaboration with information visualization

Anna Wu, Xiaolong Zhang, Gregorio Convertino, John Carroll

College of Information Sciences and Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

11 Scopus citations

Abstract

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.

Original language	English (US)
Title of host publication	GROUP'09 - Proceedings of the 2009 ACM SIGCHI International Conference on Supporting Group Work
Pages	273-276
Number of pages	4
DOIs	https://doi.org/10.1145/1531674.1531714
State	Published - Dec 1 2009
Event	2009 ACM SIGCHI International Conference on Supporting Group Work, GROUP'09 - Sanibel Island, FL, United States Duration: May 10 2009 → May 13 2009

Other

Other	2009 ACM SIGCHI International Conference on Supporting Group Work, GROUP'09
Country	United States
City	Sanibel Island, FL
Period	5/10/09 → 5/13/09

All Science Journal Classification (ASJC) codes

Computer Science(all)

Access to Document

10.1145/1531674.1531714

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Cite this

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title = "CIVIL: Support geo-collaboration with information visualization",

abstract = "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.",

author = "Anna Wu and Xiaolong Zhang and Gregorio Convertino and John Carroll",

year = "2009",

month = dec,

day = "1",

doi = "10.1145/1531674.1531714",

language = "English (US)",

isbn = "9781605585000",

pages = "273--276",

booktitle = "GROUP'09 - Proceedings of the 2009 ACM SIGCHI International Conference on Supporting Group Work",

note = "2009 ACM SIGCHI International Conference on Supporting Group Work, GROUP'09 ; Conference date: 10-05-2009 Through 13-05-2009",

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Wu, A, Zhang, X, Convertino, G & Carroll, J 2009, CIVIL: Support geo-collaboration with information visualization. in GROUP'09 - Proceedings of the 2009 ACM SIGCHI International Conference on Supporting Group Work. pp. 273-276, 2009 ACM SIGCHI International Conference on Supporting Group Work, GROUP'09, Sanibel Island, FL, United States, 5/10/09. https://doi.org/10.1145/1531674.1531714

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AU - Carroll, John

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