Can subjects be guided to optimal decisions? The use of a real-time training intervention model

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Authors
Carlson, Travis D.
Subjects
decision making
optimal decision making
training
real-time data capture
intervention
Advisors
Kennedy, Quinn
Sciarini, Lee
Date of Issue
2016-06
Date
16-Jun
Publisher
Monterey, California: Naval Postgraduate School
Language
Abstract
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.
Type
Thesis
Description
Series/Report No
NPS Outstanding Theses and Dissertations
Department
Computer Science
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NPS Report Number
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Distribution Statement
Approved for public release; distribution is unlimited.
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.