Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/152704
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dc.contributor.authorPushparaj, Kiranrajen_US
dc.contributor.authorKy, Gregoireen_US
dc.contributor.authorAyeni, Alvin Johnen_US
dc.contributor.authorAlam, Sameeren_US
dc.contributor.authorDuong, Vu N.en_US
dc.date.accessioned2021-09-20T07:01:01Z-
dc.date.available2021-09-20T07:01:01Z-
dc.date.issued2021-
dc.identifier.citationPushparaj, K., Ky, G., Ayeni, A. J., Alam, S. & Duong, V. N. (2021). A quantum-inspired model for human-automation trust in air traffic controllers derived from functional Magnetic Resonance Imaging and correlated with behavioural indicators. Journal of Air Transport Management, 97, 102143-. https://dx.doi.org/10.1016/j.jairtraman.2021.102143en_US
dc.identifier.issn0969-6997en_US
dc.identifier.urihttps://hdl.handle.net/10356/152704-
dc.description.abstractSteady growth in air traffic has resulted in a greater prevalence in automation aids as far as the field of Air Traffic Management is concerned. This has ensued in human factors, particularly trust becoming an essential point of consideration in Air Traffic Controller (ATCO)-automation teams. An undertaking to better embody trust behaviours in ATCOs was attempted by coalescing two schools of thought on trust using the principles of superposition and complementarity from quantum mechanics. This model was further refined with behavioural indicators from the experiment. Brain imaging verification of this synchronised coexistence of both philosophies was established with the use of functional Magnetic Resonance Imaging (fMRI) data, where ATCOs were given conflict detection tasks with the aid of ATS-CAP software that was able to generate credible flight plans with visible waypoints and airports. Data from self-reported questionnaires have been useful in building generalised models of trust. However, the robustness of the model that has been proposed in this paper is higher than generalised models because of the utilisation of unbiased data to represent specifically ATCO trusting behaviour under uncertainty. This is an improvement on current models that are also context-dependent and based on subjective data.en_US
dc.description.sponsorshipCivil Aviation Authority of Singapore (CAAS)en_US
dc.description.sponsorshipNanyang Technological Universityen_US
dc.language.isoenen_US
dc.relationM4062429.052en_US
dc.relationNTU IRBIRB-2018- 12-002en_US
dc.relation.ispartofJournal of Air Transport Managementen_US
dc.rightsCopyright © 2021 Elsevier Ltd. All rights reserved. This paper was published in Journal of Air Transport Management and is made available with permission of Elsevier Ltd.en_US
dc.subjectEngineering::Aeronautical engineering::Aviationen_US
dc.titleA quantum-inspired model for human-automation trust in air traffic controllers derived from functional Magnetic Resonance Imaging and correlated with behavioural indicatorsen_US
dc.typeJournal Articleen
dc.contributor.schoolSchool of Mechanical and Aerospace Engineeringen_US
dc.contributor.researchAir Traffic Management Research Instituteen_US
dc.identifier.doi10.1016/j.jairtraman.2021.102143-
dc.description.versionAccepted versionen_US
dc.identifier.volume97en_US
dc.identifier.spage102143en_US
dc.subject.keywordsNeuroergonomicsen_US
dc.subject.keywordsHuman Factorsen_US
dc.subject.keywordsQuantum Cognitionen_US
dc.subject.keywordsFunctional Magnetic Resonance Imagingen_US
dc.subject.keywordsTrusten_US
dc.subject.keywordsAir Traffic Managementen_US
dc.description.acknowledgementThis work is supported by the Civil Aviation Authority of Singapore (CAAS) and Nanyang Technological University (NTU) Singapore, with Research Grant M4062429.052 under their collaboration in the Air Traffic Management Research Institute. Any opinions, findings and conclusions or recommendations expressed in this material are those of the author(s) and do not reflect the views of the Civil Aviation Authority of Singapore.en_US
item.fulltextWith Fulltext-
item.grantfulltextembargo_20231107-
Appears in Collections:ATMRI Journal Articles
MAE Journal Articles
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