Research reading 077 / Actors / 2022
Neuroadaptive Training via fNIRS in Flight Simulators
Source authors: Jesse A. Mark; Amanda E. Kraft; Matthias D. Ziegler; Hasan Ayaz
Originally published in Frontiers in Neuroergonomics · 2022
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Neuroadaptive Training via fNIRS in Flight Simulators
Jesse A. Mark; Amanda E. Kraft; Matthias D. Ziegler; Hasan Ayaz
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Open original source ↗ · CC BY 4.0
Original-text attribution: Jesse A. Mark; Amanda E. Kraft; Matthias D. Ziegler; Hasan Ayaz. Verified full-text source · CC BY 4.0. Passages retain their wording. Original research authorship is unchanged.
A2 Workload and adaptive learning
Why read this for flight training?
Compares performance-based progression with progression informed by fNIRS workload. A central example of adapting task difficulty to the learner.
How to interpret the evidence
Short-term gains on studied tasks require confirmation for retention, real-flight transfer and practical deployment.
Screening basis: Abstract screened. This annotation identifies relevance and limits; it does not replace appraisal of the original methods and findings.
Cite the original article
Jesse A. Mark; Amanda E. Kraft; Matthias D. Ziegler; Hasan Ayaz (2022). Neuroadaptive Training via fNIRS in Flight Simulators. Frontiers in Neuroergonomics, 3, 820523. https://doi.org/10.3389/fnrgo.2022.820523
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.
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