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A Neuroergonomics Approach to Mental Workload, Engagement and Human Performance

Dehais, F, Lamont, A, Roy, R and Fairclough, SH (2020) A Neuroergonomics Approach to Mental Workload, Engagement and Human Performance. Frontiers in Neuroscience, 14. ISSN 1662-453X

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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 two-dimensional 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
Uncontrolled Keywords: 1109 Neurosciences, 1702 Cognitive Sciences, 1701 Psychology
Subjects: B Philosophy. Psychology. Religion > BF Psychology
Divisions: Psychology (new Sep 2019)
Publisher: Frontiers Media
Date Deposited: 08 Apr 2020 11:44
Last Modified: 04 Sep 2021 07:30
DOI or Identification number: 10.3389/fnins.2020.00268
URI: https://researchonline.ljmu.ac.uk/id/eprint/12685

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