@article{ref1,
title="Human factors and neurophysiological metrics in air traffic control: a critical review",
journal="IEEE reviews in biomedical engineering",
year="2017",
author="Aricò, Pietro and Borghini, Gianluca and Di Flumeri, Gianluca and Bonelli, Stefano and Golfetti, Alessia and Graziani, Ilenia and Pozzi, Simone and Imbert, Jean-Paul and Granger, Géraud and Benhacene, Raïlane and Schaefer, Dirk and Babiloni, Fabio",
volume="10",
number="",
pages="250-263",
abstract="This article provides the reader a focused and organised review of the research progresses on neurophysiological indicators, also called &quot;neurometrics&quot;, to show how neurometrics could effectively address some of the most important Human Factors (HFs) needs in the Air Traffic Management (ATM) field. The state of the art on the most involved HFs and related cognitive processes (e.g. mental workload, cognitive training) is presented together with examples of possible applications in the current and future ATM scenarios, in order to better understand and highlight the available opportunities of such neuroscientific applications. Furthermore, the paper will discuss the potential enhancement that further research and development activities could bring to the efficiency and safety of the ATM service.<p /> <p>Language: en</p>",
language="en",
issn="1937-3333",
doi="10.1109/RBME.2017.2694142",
url="http://dx.doi.org/10.1109/RBME.2017.2694142"
}