A Neuroergonomics Approach to Mental Workload, Engagement and Human Performance - Inria - Institut national de recherche en sciences et technologies du numérique Accéder directement au contenu
Article Dans Une Revue Frontiers in Neuroscience Année : 2020

A Neuroergonomics Approach to Mental Workload, Engagement and Human Performance

Résumé

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.
Fichier principal
Vignette du fichier
Dehais_25871.pdf (2.6 Mo) Télécharger le fichier
Origine : Fichiers éditeurs autorisés sur une archive ouverte
Loading...

Dates et versions

hal-02537107 , version 1 (08-04-2020)

Identifiants

Citer

Frédéric Dehais, Alex Lafont, Raphaëlle N. Roy, Stephen Fairclough. A Neuroergonomics Approach to Mental Workload, Engagement and Human Performance. Frontiers in Neuroscience, 2020, 14, pp.1-17. ⟨10.3389/fnins.2020.00268⟩. ⟨hal-02537107⟩

Collections

ANR ANITI
59 Consultations
195 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More