Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/152767
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dc.contributor.authorTan, Shi Yinen_US
dc.contributor.authorChen, Chun-Hsienen_US
dc.contributor.authorLye, Sun Wohen_US
dc.date.accessioned2021-11-11T05:41:23Z-
dc.date.available2021-11-11T05:41:23Z-
dc.date.issued2021-
dc.identifier.citationTan, S. Y., Chen, C. & Lye, S. W. (2021). Physiological based adaptive automation triggers in varying traffic density. 5th International Conference on Human Interaction and Emerging Technologies (IHIET 2021), LNNS, volume 319, 339-345. https://dx.doi.org/10.1007/978-3-030-85540-6_43en_US
dc.identifier.isbn978-3-030-85539-0-
dc.identifier.isbn978-3-030-85540-6-
dc.identifier.urihttps://hdl.handle.net/10356/152767-
dc.description.abstractAdaptive automation is paramount in alleviating the undesired effects of high levels of automation. This paper examines various visual physiological measures whilst participants were engaged in conflict detection tasks in an air traffic control environment of varying traffic densities. Results showed that global means of fixation count and duration do not perfectly convey the underlying cognitive processes of operators and that successive comparisons on aircraft targets could serve as potential predictors of conflict detection performance end states. The agnostic nature of successive comparisons to varying traffic densities is also vital in a realistic air traffic control environment where traffic is fluctuating constantly. Additionally, physiological measures derived from such behavioural cues could potentially serve as fail-safe triggers in conventional physiological-based adaptive automation triggers in safety-critical domains.en_US
dc.description.sponsorshipCivil Aviation Authority of Singapore (CAAS)en_US
dc.description.sponsorshipNanyang Technological Universityen_US
dc.language.isoenen_US
dc.rights© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG. All rights reserved. This paper was published in Proceedings of 5th International Virtual Conference on Human Interaction and Emerging Technologies (IHIET 2021) and is made available with permission of The Author(s).en_US
dc.subjectEngineering::Mechanical engineeringen_US
dc.subjectEngineering::Aeronautical engineeringen_US
dc.titlePhysiological based adaptive automation triggers in varying traffic densityen_US
dc.typeConference Paperen
dc.contributor.schoolSchool of Mechanical and Aerospace Engineeringen_US
dc.contributor.conference5th International Conference on Human Interaction and Emerging Technologies (IHIET 2021)en_US
dc.contributor.researchAir Traffic Management Research Instituteen_US
dc.identifier.doi10.1007/978-3-030-85540-6_43-
dc.description.versionAccepted versionen_US
dc.identifier.volumeLNNS, volume 319en_US
dc.identifier.spage339en_US
dc.identifier.epage345en_US
dc.subject.keywordsAdaptive Automationen_US
dc.subject.keywordsHuman-systems Integrationen_US
dc.citation.conferencelocationVirtual Conferenceen_US
dc.description.acknowledgementThis research is supported by the Civil Aviation Authority of Singapore and Nanyang Technological University, Singapore under their collaboration in the Air Traffic Management Research Institute.en_US
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MAE Conference Papers
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