A new perspective for the training assessment: Machine learning-based neurometric for augmented user's evaluation

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Borghini, Gianluca; Aricò, Pietro; Di Flumeri, Gianluca; Sciaraffa, Nicolina; Colosimo, Alfredo; Herrero, Maria-Trinidad; Bezerianos, Anastasios; Thakor, Nitish V.; Babiloni, Fabio;

Inappropriate training assessment might have either high social costs and economic impacts, especially in high risks categories, such as Pilots, Air Traffic Controllers, or Surgeons. One of the current limitations of the standard training assessment procedures is the la... View more
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