Many computational models of human performance are currently being developed. These models may be used to give machines a theory of human performance useful for human-machine teaming. The majority of these computational models are, however, insensitive to the human's stress-state. The present study explored whether humans have an intuitive theory of human stress that they use to predict other people's stress-states in performance contexts. Development of this model may enable machines to more effectively team with humans.
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