Can subjects be guided to optimal decisions? The use of a real-time training intervention model
Carlson, Travis D.
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Effective decision-making is a hallmark of military leadership, and development of decision makers is critical to military strategy. The Cognitive Alignment with Performance-Targeted Training Intervention Model (CAPTTIM) was developed to aid training of optimal decision-making. Cognitive state suggests a subject is exploring the decision environment as opposed to exploiting it, and decision performance classifies whether a subject is making optimal decisions. Using a color-coded structure combining cognitive state and decision performance, CAPTTIM indicates whether those factors are aligned for optimal decision-making--exploiting the environment and making optimal decisions--or not. The focus of this thesis was to identify each subject's CAPTTIM status in real time and, when decision performance was misaligned, provide feedback to influence the subject's future decisions. Through a human-subject experiment (n = 34), we classified decision-makers' CAPTTIM status in real time. We randomly assigned 17 subjects to receive tailored feedback during execution of a decision task (feedback group), and trend analysis reveals the feedback group to be more likely to reach optimal decisions than a control group. These results imply that training systems could be tailored to the individual and that methods used to instruct effective decision-making may expand to include real-time understanding and intervention.
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Sengupta, Kishore; Te'eni, Dov (MIS Quarterly, 1993-03);Cognitive feedback in group decision making is information that provides decision makers with a better understanding of their own decision processes and that of the other group members. It appears to be an effective aid ...
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Durbin, William A. (Monterey, California. Naval Postgraduate School, 1991-03);This thesis was a study which deals with two basic concepts in human decision making. The first is the role of information relevance, specifically the adverse effects of irrelevant information on decision quality. The ...