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A Neuroergonomics Approach to Mental Workload, Engagement and Human Performance

Dehais, Frédéric and Lafont, Alex and Roy, Raphaëlle N. and Fairclough, Stephen A Neuroergonomics Approach to Mental Workload, Engagement and Human Performance. (2020) Frontiers in Neuroscience, 14. 1-17. ISSN 1662-4548

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Official URL: https://doi.org/10.3389/fnins.2020.00268

Abstract

The assessment and prediction of cognitive performance is a key issue for any discipline concerned with human operators in the context of safety-critical behavior. Most of the research has focused on the measurement of mental workload but this construct remains difficult to operationalize despite decades of research on the topic. Recent advances in Neuroergonomics have expanded our understanding of neurocognitive processes across different operational domains.We provide a framework to disentangle those neural mechanisms that underpin the relationship between task demand, arousal, mental workload and human performance. This approach advocates targeting those specific mental states that precede a reduction of performance efficacy. A number of undesirable neurocognitive states (mind wandering, effort withdrawal, perseveration, inattentional phenomena) are identified and mapped within a twodimensional conceptual space encompassing task engagement and arousal. We argue that monitoring the prefrontal cortex and its deactivation can index a generic shift from a nominal operational state to an impaired one where performance is likely to degrade. Neurophysiological, physiological and behavioral markers that specifically account for these states are identified. We then propose a typology of neuroadaptive countermeasures to mitigate these undesirable mental states.

Item Type:Article
HAL Id:hal-02537107
Audience (journal):International peer-reviewed journal
Uncontrolled Keywords:
Institution:Other partners > Drexel University (USA)
Université de Toulouse > Institut Supérieur de l'Aéronautique et de l'Espace - ISAE-SUPAERO (FRANCE)
Other partners > Liverpool John Moores University - LJMU (UNITED KINGDOM)
Laboratory name:
Funders:
ANITI ANR-19-PI3A-0004
Statistics:download
Deposited By: Frédéric Dehais
Deposited On:08 Apr 2020 14:03

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