Adaptive Automation triggered by EEG-based mental workload index: a passive Brain-Computer Interface application in realistic Air Traffic Control environment

Adaptive Automation (AA) is a promising approach to keep the task workload demand within appropriate levels in order to avoid both the under- and overload conditions, hence enhancing the overall performance and safety of the human-machine system. The main issue on the use of AA is how to trigger the...

Deskribapen osoa

Xehetasun bibliografikoak

Egile Nagusiak:	Pietro Aricò, Gianluca Borghini, Gianluca Di Flumeri, Alfredo Colosimo, Stefano Bonelli, Alessia Golfetti, Simone Pozzi, Jean Paul Imbert, Géraud Granger, Railane Benhacene, Fabio Babiloni
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	Frontiers Media S.A. 2016-10-01
Saila:	Frontiers in Human Neuroscience
Gaiak:	machine learning human factors electroencephalogram (EEG) Mental Workload human machine interaction Air traffic management (ATM)
Sarrera elektronikoa:	http://journal.frontiersin.org/Journal/10.3389/fnhum.2016.00539/full
Etiketak:	Etiketa erantsi Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!