Using neurophysiological measures to assess air traffic controllers’ mental state, measuring in real time mental workload, level of training and type of cognitive control
The project develops a system that combines a set of neurophysiological parameters (Brain electrical activity – EEG – Hearth activity, and Ocular activity) to understand the mental state of air traffic controllers, detecting problems such as an excessive mental workload or stress, and eventually providing ad-hoc solutions of adaptive automation, such as dynamic filtering, or highlight of high priority events.
Deep Blue is the project coordinator. We contribute with its Human Factors expertise to the development of the system, providing the link between practical everyday ATM operational problems and neurophysiological indicators. We are responsible for the organisation and conduction of the simulations validating the functionality and reliability of the system in a realistic ATM environment (at ENAC research facilities, Toulouse) with professional and student controllers.
We are in charge of the design and validation of the adaptive solutions. Deep Blue is responsible for project communication and results dissemination.
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