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A glimpse into the expert lexicon: behavioural evidence from Aviation English

Abstract:
Using a specialised language is often an integral part of being an expert in a field (e.g. medicine, aviation). We employed an auditory sentence processing task with immediate recall to compare behavioural (RT, accuracy) responses by experts (pilots with more than 200 hours of training, N=42) to non-experts (listeners with no training in the field, N=54). Auditory stimuli were purpose-built to reproduce the standard aviation operating environment: recordings were produced by an aviation professional employing authentic radiotelephony cadence and mixed with simulated control-tower background noise.
As expected, reaction times showed a clear effect of expertise: experts responded significantly faster on matched than mismatched trials, whereas non-experts showed no reliable effect. More importantly, accuracy analyses revealed that experts demonstrate strong sensitivity to phraseology, with significantly lower accuracy on recall tasks after hearing a single nonstandard word in an utterance than in all other conditions. Taken together, our results indicate that experts in aviation radiotelephony are principally sensitive to non-standard phraseology. These findings have implications not only for the organisation of the expert lexicon, but also the importance of using correct phraseology in the standard aviation environment.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1016/j.actpsy.2026.107031

Authors

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Institution:
University of Oxford
Division:
HUMS
Department:
Linguistics Philology & Phonetics
Role:
Author
ORCID:
0000-0002-7072-988X


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Funder identifier:
https://ror.org/0336mm561
Grant:
0016093
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Funder identifier:
https://ror.org/052gg0110


Publisher:
Elsevier
Journal:
Acta Psychologica More from this journal
Volume:
267
Article number:
107031
Publication date:
2026-05-09
Acceptance date:
2026-05-07
DOI:
EISSN:
1873-6297
ISSN:
0001-6918


Language:
English
Keywords:
Pubs id:
2415940
Local pid:
pubs:2415940
Deposit date:
2026-05-07
ARK identifier:

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