From the bottom of the ocean to the depths of space and cyberspace, our systems are operated by humans. However, nowadays decisions need to be quicker and safer. The behavior of an operator in an operational situation depends not only on his good knowledge of the procedures but also on his current cognitive state.
The objective is to help human configure, understand, and develop personalized decision-making processes by making AI learn from the operator but also understand its expertise level and performance in the process. It is critical to identify and measure valid behavioral and physiological proxies for the cognitive state of the user, e.g. regarding aspects such as stress, cognitive workload, or sustained attention.
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