Aviation and neurophysiology: A systematic review

Evy van Weelden · Maryam Alimardani · Travis J. Wiltshire · Max M. Louwerse

86 citations0/0 files storedApplied Ergonomics

No readable copy stored yet — this record is metadata only.

No open-access location is known for this record yet.

Literature note Cite in a project Citation map

Human-Automation Interaction and Safety EEG and Brain-Computer Interfaces Sleep and Work-Related Fatigue

Abstract

This paper systematically reviews 20 years of publications (N = 54) on aviation and neurophysiology. The main goal is to provide an account of neurophysiological changes associated with flight training with the aim of identifying neurometrics indicative of pilot's flight training level and task relevant mental states, as well as to capture the current state-of-art of (neuro)ergonomic design and practice in flight training. We identified multiple candidate neurometrics of training progress and workload, such as frontal theta power, the EEG Engagement Index and the Cognitive Stability Index. Furthermore, we discovered that several types of classifiers could be used to accurately detect mental states, such as the detection of drowsiness and mental fatigue. The paper advances practical guidelines on terminology usage, simulator fidelity, and multimodality, as well as future research ideas including the potential of Virtual Reality flight simulations for training, and a brain-computer interface for flight training.

Paper brief

Loading…

Cite this work

Citation unavailable for this work.

BibTeX RIS CSL-JSON

No public copy is stored for this record, so only the metadata is cited.

Citations in this library

Citation map →

Stored only when both papers are in the corpus — 86 citations exist upstream.

References

2009Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement 1988Development of NASA-TLX (Task Load Index): Results of Empirical and Theoretical Research 2012Measuring neurophysiological signals in aircraft pilots and car drivers for the assessment of mental workload, fatigue and drowsiness 2020Detecting fatigue in car drivers and aircraft pilots by using non-invasive measures: The value of differentiation of sleepiness and mental fatigue 2013Active and passive fatigue in simulated driving: Discriminating styles of workload regulation and their safety impacts.2000A Closed-Loop System for Examining Psychophysiological Measures for Adaptive Task Allocation 2016Investigating Cooperative Behavior in Ecological Settings: An EEG Hyperscanning Study 2020Inter-brain synchrony in teams predicts collective performance

Cited by

2024Detecting and Predicting Pilot Mental Workload Using Heart Rate Variability: A Systematic Review 2023Assessing the development of mental fatigue during simulated flights with concurrent EEG-fNIRS measurement 2024Mental workload assessment by monitoring brain, heart, and eye with six biomedical modalities during six cognitive tasks 2024

Explore the map →

Papers that cite the same references — the relational fallback while embeddings are still backfilling.

Imported from OpenAlex (CC0) — nothing here is generated.