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The Development of Robust Intuitive Decision Making In Simulated Real-World Environments

abstract: Intuitive decision making refers to decision making based on situational pattern recognition, which happens without deliberation. It is a fast and effortless process that occurs without complete awareness. Moreover, it is believed that implicit learning is one means by which a foundation for intuitive decision making is developed. Accordingly, the present study investigated several factors that affect implicit learning and the development of intuitive decision making in a simulated real-world environment: (1) simple versus complex situational patterns; (2) the diversity of the patterns to which an individual is exposed; (3) the underlying mechanisms. The results showed that simple patterns led to higher levels of implicit learning and intuitive decision-making accuracy than complex patterns; increased diversity enhanced implicit learning and intuitive decision-making accuracy; and an embodied mechanism, labeling, contributes to the development of intuitive decision making in a simulated real-world environment. The results suggest that simulated real-world environments can provide the basis for training intuitive decision making, that diversity is influential in the process of training intuitive decision making, and that labeling contributes to the development of intuitive decision making. These results are interpreted in the context of applied situations such as military applications involving remotely piloted aircraft. / Dissertation/Thesis / Ph.D. Psychology 2011

Identiferoai:union.ndltd.org:asu.edu/item:8940
Date January 2011
ContributorsCovas-Smith, Christine Marie (Author), Cooke, Nancy (Advisor), Patterson, Robert (Committee member), Glenberg, Arthur (Committee member), Homa, Donald (Committee member), Arizona State University (Publisher)
Source SetsArizona State University
LanguageEnglish
Detected LanguageEnglish
TypeDoctoral Dissertation
Format127 pages
Rightshttp://rightsstatements.org/vocab/InC/1.0/, All Rights Reserved

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