NINA is a research project co-funded by SESAR, as part of its long-term research programme.
It aimed at developing a tool able to perform a real-time assessment on a set of cognitive states of Air Traffic Controllers performing their job – such as mental workload intensity, type of attentional control and proficiency level gained during a training period. The tool uses an algorithm based on the analysis of 3 main neurophysiologic indexes: electrical brain activity, heart rate variability, and eye blinking.
As an integral part of the project, a study to show how the further development of similar kinds of tools could enhance aviation safety and efficiency was performed. This page briefly summarises the results of the study, presenting a proof-of-concept for an advanced system able to understand in real-time the operator’s psycho-physical state, to match it with the situation in which she is operating and to provide the best automated support accordingly.