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Record W4410960633 · doi:10.1080/00140139.2025.2511871

The effects of wearing pilots’ oxygen masks on cognitive performance

2025· article· en· W4410960633 on OpenAlexaff
Frank Albers, Julia Maier, Kevin Schudlik, Jean-Baptiste Dupuy

Bibliographic record

VenueErgonomics · 2025
Typearticle
Languageen
FieldPsychology
TopicHuman-Automation Interaction and Safety
Canadian institutionsSafran Electronics (Canada)
FundersCleanskyEuropean Commission
KeywordsAeronauticsCognitionPsychologyOxygenEnvironmental scienceForensic engineeringApplied psychologySimulationAudiologyEngineeringMedicineChemistry

Abstract

fetched live from OpenAlex

We analysed cognitive performance of professional pilots in two visual and one acoustical cognitive task while wearing two different kinds of oxygen masks for aircraft. The study was conducted in a simulator environment with a sample of N = 18 French pilots. The air composition was held constant. Compared to baseline performance, there were no performance detriments in the visual tasks when accuracy was analysed. However, wearing the masks slowed down performance speed, although marginally. Also, the detriments were much smaller than the subjective feeling of inhibition as identified in an earlier study. In the acoustical task, a decrease in performance in accuracy and speed could only be observed in multiple task and therefore high workload situations. The underlying mechanisms that might cause the diverse detriments on different stages of cognitive processing are discussed as well as the practical implications, especially for enhancing compliance to professional mask wearing.Practitioner summary: In a simulation experiment, the effects of oxygen mask wearing on cognitive performance were shown to be marginal, although pilots might state feelings of subjective impairment. The results can help to foster mask wearing in pilots.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.900
Threshold uncertainty score0.673

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.012
GPT teacher head0.316
Teacher spread0.304 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2025
Admission routes1
Has abstractyes

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