DocumentCode :
2990181
Title :
Assessing team workload and situational awareness in an Intelligence, Surveillance, and Reconnaissance (ISR) simulation exercise
Author :
Won, James C. ; Condon, Gary R. ; Landon, Benjamin R. ; Wang, Andrew R. ; Hannon, Daniel J.
Author_Institution :
MIT Lincoln Lab., Tufts Univ., Lincoln, MA, USA
fYear :
2011
fDate :
22-24 Feb. 2011
Firstpage :
163
Lastpage :
167
Abstract :
Currently, one of the greatest challenges to the nation´s intelligence community is the discovery of clandestine networks, typically in the context of counter-insurgency operations. MIT Lincoln Laboratory has developed an Intelligence, Surveillance, and Reconnaissance (ISR) “Red/Blue” exercise in which two teams compete to discover a complex network within a simulated urban environment. The teams use wide-area persistent surveillance data, as well as decision support and situational awareness tools, to trace relationships between individuals, events, and sites. Information management, analysis, and tool interaction are some of the cognitive factors that contribute to varying levels of the team´s workload and situational awareness. This paper describes an initial study of the relationship between workload and situational awareness (SA) in such a setting. The paper also presents observations regarding different roles within the teams and their corresponding workload and SA.
Keywords :
artificial intelligence; cognition; decision support systems; information analysis; information management; surveillance; team working; ISR; MIT Lincoln Laboratory; clandestine network; cognitive factor; counter insurgency operation; decision support tool; information analysis; information management; intelligence surveillance and reconnaissance simulation; situational awareness; team workload assessment; tool interaction; wide area persistent surveillance data; Ergonomics; Games; Human factors; Laboratories; Lead; Organizing; Surveillance; ISR Simulation; Situational Awareness; Team; Workload;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cognitive Methods in Situation Awareness and Decision Support (CogSIMA), 2011 IEEE First International Multi-Disciplinary Conference on
Conference_Location :
Miami Beach, FL
Print_ISBN :
978-1-61284-785-6
Type :
conf
DOI :
10.1109/COGSIMA.2011.5753436
Filename :
5753436
Link To Document :
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