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Analysis of Major Factors Contributing to Air Force Pilot Fatigue: A South Korea Case

Authors
Kim, JungkiBaby, TijuLee, Seul Chan
Issue Date
Feb-2025
Publisher
Taylor and Francis Ltd.
Keywords
human factor analysis and classification system (HFACS); Pilot fatigue; questionnaire development; structural equation modeling
Citation
International Journal of Human-Computer Interaction
Indexed
SCIE
SSCI
SCOPUS
Journal Title
International Journal of Human-Computer Interaction
URI
https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/123712
DOI
10.1080/10447318.2025.2465863
ISSN
1044-7318
1532-7590
Abstract
This study investigated the main causes of Air Force pilot fatigue, which could lead to aviation accidents. Data were collected from Korean pilots through in-person survey, utilizing the Human Factors Analysis and Classification System (HFACS). The study focused on preconditions for unsafe acts and unsafe supervision, as well as detecting fatigue using a modified checklist. A three-factor structure comprising 17 subfactors was identified, exhibiting robust psychometric properties, good model fit and reliability. Strong positive relationships were observed between pilot fatigue and all subfactors. The study highlighted the influence of age, job identity, and total flight hours on pilot fatigue. Instructors and more experienced pilots had higher fatigue scores than younger pilots. These findings underscore the need for targeted interventions to reduce fatigue among middle-aged pilots, instructors, and experienced pilots. The results validate the model’s applicability in Korea and suggest its potential utility in other industrialized nations. © 2025 Taylor & Francis Group, LLC.
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ERICA 소프트웨어융합대학 (SCHOOL OF MEDIA, CULTURE, AND DESIGN TECHNOLOGY)
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