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Progress and Direction in Neuroergonomics

Dehais, Frédéric and Ayaz, Hasan Progress and Direction in Neuroergonomics. (2019) In: Neuroergonomics: the brain at work and in everyday life. Elsevier, 3-7. ISBN 9780128119266

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Official URL: http://doi.org/10.1016/C2016-0-02196-4


Recent advances in cognitive neuroscience and progress in neuroimaging have radically changed our understanding of the neural mechanisms underlying human perceptual, cognitive, and motor functioning. These findings are of great importance for applied scientific disciplines concerned with the evaluation of human performance. Since the early 2000’s, Neuroergonomics, the intersection of Neuroscience, Cognitive Engineering and Human Factors, proposes to examine the brain mechanisms and underlying human-technology interaction in increasingly naturalistic settings representative of work and in everyday life situations. The objective of merging these disciplines into a single field of research is to encourage cross-fertilization and to provide new tools at the epistemological, methodological, and technical levels (see figure 1). This approach known as Neuroergonomics – was initially proposed by Prof. Parasuraman (1998) , progressively conceptualized (Hancock & Szalma, 2003; Parasuraman, 2003; Sarter & Sarter, 2003) and then formalized by Profs Parasuraman and Rizzo in their book “Neuroergonomics: The Brain at Work” (2007). This discipline is defined by his founder, Prof. Parasuraman, as the “scientific study of the brain mechanisms and psychological and physical functions of humans in relation to technology, work and environments”. The postulate is that the understanding of the underlying neurocognitive processes that occur during complex real-life activities such as human-technology interaction could be used to improve safety and efficiency of the overall human machine teaming. Thus, the objective of Neuroergonomics, consistently with Human Factors and Ergonomics, is to enhance the integration of the human by fitting machine with human and fitting the human to machine. This innovative approach found several applications ranging from the operation complex systems (e.g. flying aircrafts, supervising nuclear power plant, driving autonomous vehicles, surgeons in operating room) to the improvement of the performance of disable patients or elderly people in their daily interaction with their environment (Gramann, Fairclough, Zander, & Ayaz, 2017).

Item Type:Book Section
Additional Information:chapter 1
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Institution:Other partners > Drexel University (USA)
Université de Toulouse > Institut Supérieur de l'Aéronautique et de l'Espace - ISAE-SUPAERO (FRANCE)
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Deposited On:29 Jan 2019 10:34

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