Enhancing pilot and cabin crew wellness through AI-driven analytics and holistic mentorship: A comprehensive review

Pilot and cabin crew wellness profoundly impacts aviation safety and operational effectiveness. Addressing fatigue, stress, and mental health becomes essential with increased complexity in aviation. Recent advances in Artificial Intelligence (AI) enable continuous, precise monitoring of crew wellness through biometrics, including breath analysis, pupil dilation, and perspiration levels. Integrating these AI capabilities with structured mentorship significantly enhances crew wellness, especially during early career phases for flight attendants. Moreover, as Generation Alpha enters the workforce, digital fluency and immediate feedback expectations require tailored mentorship. Experienced pilots and cabin crew are crucial in collecting operational data, improving AI-driven wellness assessments. This review synthesizes current research, outlines practical implementation strategies, and identifies future research avenues.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-30
DOI
https://doi.org/10.5281/zenodo.17104344
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
0.00
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article

Enhancing pilot and cabin crew wellness through AI-driven analytics and holistic mentorship: A comprehensive review

Zenodo (CERN European Organization for Nuclear Research)
Geochemistry and Geologic Mapping
article

Enhancing pilot and cabin crew wellness through AI-driven analytics and holistic mentorship: A comprehensive review

article en

Abstract

Pilot and cabin crew wellness profoundly impacts aviation safety and operational effectiveness. Addressing fatigue, stress, and mental health becomes essential with increased complexity in aviation. Recent advances in Artificial Intelligence (AI) enable continuous, precise monitoring of crew wellness through biometrics, including breath analysis, pupil dilation, and perspiration levels. Integrating these AI capabilities with structured mentorship significantly enhances crew wellness, especially during early career phases for flight attendants. Moreover, as Generation Alpha enters the workforce, digital fluency and immediate feedback expectations require tailored mentorship. Experienced pilots and cabin crew are crucial in collecting operational data, improving AI-driven wellness assessments. This review synthesizes current research, outlines practical implementation strategies, and identifies future research avenues.

Zenodo (CERN European Organization for Nuclear Research)
Civil Aviation Flight University of China (CN)
Openalex Percentile: Top 44%
Geochemistry and Geologic Mapping
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Enhancing pilot and cabin crew wellness through AI-driven analytics and holistic mentorship: A comprehensive review · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS