Research reading 076 / Actors / 2015
Real-Time State Estimation in a Flight Simulator Using fNIRS
Source authors: Thibault Gateau; Gautier Durantin; Francois Lancelot; Sebastien Scannella; Frederic Dehais
Originally published in PLOS ONE · 2015
An annotated reading guide. The full source article is available through the original publication link above.
Paper AgentAsk this paper.Explore evidence, limits & sources
Journal reading guide + source metadata
Find passages you can follow back to their source. This reading companion searches this record; it does not invent answers or provide an operational flight briefing.
Source coverage & reuse
Real-Time State Estimation in a Flight Simulator Using fNIRS
Thibault Gateau; Gautier Durantin; Francois Lancelot; Sebastien Scannella; Frederic Dehais
The guide and its evidence limits are journal annotations, not quotations from the original researchers. The complete original paper is not currently in this agent’s searchable context.
A2 Workload and adaptive learning
Why read this for flight training?
Tests fNIRS-based state estimation during simulated flight and recall of controller instructions. Useful for explaining what workload sensors can and cannot observe.
How to interpret the evidence
Experimental classification should not be equated with comprehensive understanding of a learner's competence.
Screening basis: Publisher description screened. This annotation identifies relevance and limits; it does not replace appraisal of the original methods and findings.
Cite the original article
Thibault Gateau; Gautier Durantin; Francois Lancelot; Sebastien Scannella; Frederic Dehais (2015). Real-Time State Estimation in a Flight Simulator Using fNIRS. PLOS ONE, 10(3), e0121279. https://doi.org/10.1371/journal.pone.0121279
Publication record
The original paper retains its published authors, venue and DOI. This journal’s reading guide was prepared with AI assistance under the editorial direction of Dr. Freedom Cheteni. The source authors are not credited as authors of this annotation. No new peer review or DOI is claimed for the guide.
Continue this chapter
067 / 2022
Classification of Electrophysiological Signatures With Explainable Artificial Intelligence: The Case of Alarm Detection in Flight Simulator
Read research guide →
068 / 2023
Detection of Pilot’s Mental Workload Using a Wireless EEG Headset in Airfield Traffic Pattern Tasks
Read research guide →
069 / 2026
Visualizing Student Pilot Mental Workload in Real Flight Training Using Wearable Heart Rate Monitoring
Read research guide →