DocumentCode :
2635756
Title :
Characterizing the intelligence analysis process: Informing visual analytics design through a longitudinal field study
Author :
Youn-ah Kang ; Stasko, John
Author_Institution :
Georgia Inst. of Technol., Atlanta, GA, USA
fYear :
2011
fDate :
23-28 Oct. 2011
Firstpage :
21
Lastpage :
30
Abstract :
While intelligence analysis has been a primary target domain for visual analytics system development, relatively little user and task analysis has been conducted within this area. Our research community´s understanding of the work processes and practices of intelligence analysts is not deep enough to adequately address their needs. Without a better understanding of the analysts and their problems, we cannot build visual analytics systems that integrate well with their work processes and truly provide benefit to them. In order to close this knowledge gap, we conducted a longitudinal, observational field study of intelligence analysts in training within the intelligence program at Mercyhurst College. We observed three teams of analysts, each working on an intelligence problem for a ten-week period. Based upon study findings, we describe and characterize processes and methods of intelligence analysis that we observed, make clarifications regarding the processes and practices, and suggest design implications for visual analytics systems for intelligence analysis.
Keywords :
data analysis; data visualisation; Mercyhurst College; intelligence analysis process characterization; intelligence program; longitudinal field study; task analysis; visual analytics design; Analytical models; Artificial intelligence; Collaboration; Electronic publishing; Information services; Internet; Visual analytics; Intelligence analysis; qualitatvie user study;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Visual Analytics Science and Technology (VAST), 2011 IEEE Conference on
Conference_Location :
Providence, RI
Print_ISBN :
978-1-4673-0015-5
Type :
conf
DOI :
10.1109/VAST.2011.6102438
Filename :
6102438
Link To Document :
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