{"id":9,"date":"2023-09-25T12:35:16","date_gmt":"2023-09-25T10:35:16","guid":{"rendered":"https:\/\/research.dblue.it\/nina\/?page_id=9"},"modified":"2024-02-05T12:47:47","modified_gmt":"2024-02-05T11:47:47","slug":"home","status":"publish","type":"page","link":"https:\/\/research.dblue.it\/nina\/","title":{"rendered":"Home"},"content":{"rendered":"

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NINA is a research project<\/strong> co-funded by SESAR<\/a>, as part of its long-term research programme.<\/p>\n

It aimed at developing a tool able to perform a real-time assessment on a set of cognitive states<\/strong> of Air Traffic Controllers performing their job \u2013 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.<\/p>\n

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<\/strong> able to understand in real-time the operator\u2019s psycho-physical state, to match it with the situation in which she is operating and to provide the best automated support accordingly.<\/p>\n<\/div><\/div><\/div><\/div><\/div>