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dc.contributor.authorHarris, DJ
dc.contributor.authorArthur, T
dc.contributor.authorde Burgh, T
dc.contributor.authorDuxbury, M
dc.contributor.authorLockett-Kirk, R
dc.contributor.authorMcBarnett, W
dc.contributor.authorVine, SJ
dc.date.accessioned2023-04-12T10:12:34Z
dc.date.issued2023-04-18
dc.date.updated2023-04-12T09:45:55Z
dc.description.abstractObjective: The aim of this work was to examine the fidelity and validity of an aviation simulation using eye tracking. Background: Commercial head-mounted virtual reality (VR) systems offer a convenient and cost-effective alternative to existing aviation simulation (e.g., for refresher exercises). We performed pre-implementation testing of a novel aviation simulation, designed for head-mounted VR, to determine its fidelity and validity as a training device. Method: Eighteen airline pilots, with varying levels of flight experience, completed a sequence of training ‘flows’. Self reported measures of presence and workload and users’ perceptions of fidelity were taken. Pilots’ eye movements and performance were recorded to determine whether more experienced pilots showed distinct performance and eye gaze profiles in the simulation, as they would in the real-world. Results: Real-world expertise correlated with eye gaze patterns characterised by fewer, but longer, fixations and a scan path that was more structured and less random. Multidimensional scaling analyses also indicated differential clustering of strategies in more versus less experienced pilots. Subjective ratings of performance, however, showed little relationship with real-world expertise or eye movements. Conclusion: We adopted an evidence-based approach to assessing the fidelity and validity of a VR flight training tool. Pilot reports indicated the simulation was realistic and potentially useful for training, while direct measurement of eye movements was useful for establishing construct validity and psychological fidelity of the simulation.en_GB
dc.identifier.citationPublished online 18 April 2023en_GB
dc.identifier.doihttps://doi.org/10.1080/24721840.2023.2195428
dc.identifier.urihttp://hdl.handle.net/10871/132895
dc.identifierORCID: 0000-0003-3880-3856 (Harris, David)
dc.language.isoenen_GB
dc.publisherRoutledgeen_GB
dc.relation.urlhttps://osf.io/c2tz9/en_GB
dc.rights© 2023 The Author(s). Published with license by Taylor & Francis Group, LLC. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent.
dc.subjectVRen_GB
dc.subjectsimulateden_GB
dc.subjectflighten_GB
dc.subjectcompetencyen_GB
dc.titleAssessing expertise using eye tracking in a Virtual Reality flight simulationen_GB
dc.typeArticleen_GB
dc.date.available2023-04-12T10:12:34Z
dc.identifier.issn2472-1840
dc.descriptionThis is the final version. Available on open access from Routledge via the DOI in this recorden_GB
dc.descriptionAvailability of data, material and code : All relevant data and code is available online from: https://osf.io/c2tz9/en_GB
dc.identifier.eissn2472-1832
dc.identifier.journalThe International Journal of Aerospace Psychologyen_GB
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2023-03-20
dcterms.dateSubmitted2022-01-10
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2023-03-20
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2023-04-12T09:45:58Z
refterms.versionFCDAM
refterms.dateFOA2023-04-28T12:57:19Z
refterms.panelAen_GB


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© 2023 The Author(s). Published with license by Taylor & Francis Group, LLC.
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent.
Except where otherwise noted, this item's licence is described as © 2023 The Author(s). Published with license by Taylor & Francis Group, LLC. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent.