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

Authors: Rachelle Strong; Joel Samu; Bill Deng Pan; Dahai Liu;

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

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.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
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