Pilot Acceptance of Wearable Fatigue Monitoring Technology Using Extended Technology Acceptance Model

The problem of pilot fatigue, identified as a contributing factor in aircraft accidents by the United States National Transportation and Safety Board (NTSB), lacks a concrete measurement method as per 14 CFR Part 117. This research gap is relevant for the aviation industry and public safety, emphasizing the need for a reliable fatigue assessment tool. The NTSB recommends a technology-based solution, prompting this study to explore factors influencing U.S. airline transport pilots’ willingness to use personal fatigue monitoring technology (FMT) to gauge fatigue levels. Applying the Extended Technology Acceptance Model, this study tested 10 hypotheses through an online survey distributed to certified airline transport pilots. Confirmatory factor analysis and structural equation modeling revealed that a modified model was applicable, with six hypotheses supported. Key findings indicated that perceived usefulness and ease of use significantly influenced pilots’ intention to use FMT. Job relevance, results demonstrability, and perceived image positively affected perceived usefulness, while subjective norms influenced perceived image. The study recommends device enhancements aligning with aviation needs and user-friendly data presentation to promote FMT adoption among the 87% of pilots already wearing watches during flights and the 40% using some form of FMT.

Authors

Institutions

Publication Details

Journal
Journal of Air Transportation
Published
2025-06-02
DOI
https://doi.org/10.2514/1.d0462
Primary Topic
Quality Function Deployment in Product Design
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Pilot Acceptance of Wearable Fatigue Monitoring Technology Using Extended Technology Acceptance Model

Rachelle Lynne Strong, Dahai Liu, Joel Samu, Bill Deng Pan
1 links
Journal of Air Transportation
Quality Function Deployment in Product Design
article

Pilot Acceptance of Wearable Fatigue Monitoring Technology Using Extended Technology Acceptance Model

Rachelle Lynne Strong, Dahai Liu, Joel Samu, Bill Deng Pan
article en

Abstract

The problem of pilot fatigue, identified as a contributing factor in aircraft accidents by the United States National Transportation and Safety Board (NTSB), lacks a concrete measurement method as per 14 CFR Part 117. This research gap is relevant for the aviation industry and public safety, emphasizing the need for a reliable fatigue assessment tool. The NTSB recommends a technology-based solution, prompting this study to explore factors influencing U.S. airline transport pilots’ willingness to use personal fatigue monitoring technology (FMT) to gauge fatigue levels. Applying the Extended Technology Acceptance Model, this study tested 10 hypotheses through an online survey distributed to certified airline transport pilots. Confirmatory factor analysis and structural equation modeling revealed that a modified model was applicable, with six hypotheses supported. Key findings indicated that perceived usefulness and ease of use significantly influenced pilots’ intention to use FMT. Job relevance, results demonstrability, and perceived image positively affected perceived usefulness, while subjective norms influenced perceived image. The study recommends device enhancements aligning with aviation needs and user-friendly data presentation to promote FMT adoption among the 87% of pilots already wearing watches during flights and the 40% using some form of FMT.

Journal of Air TransportationVol. 34(1)
Embry–Riddle Aeronautical University (US)
Openalex Percentile: Top 83%
Quality Function Deployment in Product Design
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Pilot Acceptance of Wearable Fatigue Monitoring Technology Using Extended Technology Acceptance Model — Rachelle Lynne Strong, Dahai Liu, et al. · Journal of Air Transportation (2025) | TGRS Research Map | TGRS