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Uninhabited agents such as UAVs are assuming increasingly prominent roles in contemporary wartime theaters. As greater numbers of UAVs are deployed, there is a need to reduce its reliance on human operators and transfer greater autonomy in decision making.
Because UAVs may coexist with humans and human-controlled agents, computational models
of human decision making are needed. Three empirical studies will measure and validate probability assessment in tasks that
simulate those in operating theaters, and will provide data for formulating these models. The studies will establish the validity of and help
model the probability judgment of humans engaged in an adversarial role
expected in UAV operating theaters, and will provide critical data for
formulating the behavioral models of significant role players in a UAV's
operating theater. Additionally, this extends the research of human-computer
interaction to a UAV domain, and it promises robust solutions to the complex
problem of accounting for both an operator's cognitive biases and the biases
of an adversary.
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