Research reading 074 / Actors / 2023
Simulating Flight Crew Workload Settings to Mitigate Fatigue Risk in Flight Operations
Source authors: Dajana Bartulović; Sanja Steiner; Dario Fakleš; Martina Mavrin Jeličić
Originally published in Aerospace · 2023
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Simulating Flight Crew Workload Settings to Mitigate Fatigue Risk in Flight Operations
Dajana Bartulović; Sanja Steiner; Dario Fakleš; Martina Mavrin Jeličić
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?
Connects duty patterns and fatigue measures through operational modeling. Useful as background for considering workload across schedules as well as individual lessons.
How to interpret the evidence
The four-pilot sample and modeled schedule changes do not establish general fatigue-management policy.
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
Dajana Bartulović; Sanja Steiner; Dario Fakleš; Martina Mavrin Jeličić (2023). Simulating Flight Crew Workload Settings to Mitigate Fatigue Risk in Flight Operations. Aerospace, 10(10), 904. https://doi.org/10.3390/aerospace10100904
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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