Assessing and Improving Team Decision Making
Final performance rept. 15 Feb 2002-14 Dec 2005
FLORIDA UNIV GAINESVILLE DEPT OF PSYCHOLOGY
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This project used analytical and experimental techniques derived from signal detection theory to quantify the decision making performance of individuals and teams. The basic decision task was to decide on the presence or absence of signals in noise. The projects experiments studied how individual and team performance depends on member signal-to-noise ratio, correlation among member inputs, efficiency of member updating of likelihood estimates, and constraints on member interaction and communication. The results show that a members combine individual estimates with high efficiency to form the teams decision, relative to an optimal Bayesian rule, b team performance depends on the response protocol that constrains the sequential order of information exchange among team members, and c team members choose to acquire additional sources of information varying in signal-to noise ratio, bias, cost, time, and correlation in a near optimal manner.
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