Evidence map›Paper›PMID 32317914›Full record

ReviewFrontiers in neuroscience2020

A Neuroergonomics Approach to Mental Workload, Engagement and Human Performance.

Frédéric Dehais, Alex Lafont, Raphaëlle Roy, Stephen Fairclough

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 70 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
70citing papers in PubMed, 4 pooled it
12.7field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

70 citing papers in PubMed, 4 syntheses or guidelines pooled it, 217 citations in OpenAlex.

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  9. Integrating arousal and valence approaches to advance cognitive effort research.Cognitive, affective & behavioral neuroscience · 2026
    Review
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10 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 3 institutions in 3 countries.

Frédéric DehaisISAE-SUPAERO, Université de Toulouse, Toulouse, France.
Alex LafontISAE-SUPAERO, Université de Toulouse, Toulouse, France.
Raphaëlle RoyISAE-SUPAERO, Université de Toulouse, Toulouse, France.
Stephen FaircloughSchool of Psychology, Liverpool John Moores University, Liverpool, United Kingdom.
Institut Superieur de l'Aeronautique et de l'Espace (ISAE-SUPAERO) · FRLiverpool John Moores University · GBUniversité Fédérale de Toulouse Midi-Pyrénées · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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 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.

Indexed as

degraded attentional and executive mental statesmental workloadneuroergonomicsperformance predictiontask engagement

Identifiers

PMID32317914
PMCPMC7154497
OpenAlexW3015212512

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.