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.
Institutions
- Civil Aviation Flight University of China (CN)
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