Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/118114
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | Department of Aeronautical and Aviation Engineering | - |
| dc.creator | Yiu, CY | - |
| dc.creator | Li, Q | - |
| dc.creator | Ng, KKH | - |
| dc.creator | Yuan, X | - |
| dc.date.accessioned | 2026-03-17T04:45:29Z | - |
| dc.date.available | 2026-03-17T04:45:29Z | - |
| dc.identifier.issn | 1044-7318 | - |
| dc.identifier.uri | http://hdl.handle.net/10397/118114 | - |
| dc.language.iso | en | en_US |
| dc.publisher | Taylor & Francis | en_US |
| dc.subject | EEG | en_US |
| dc.subject | Human-automation interaction | en_US |
| dc.subject | Human-centred flight operations | en_US |
| dc.subject | Levels of automation | en_US |
| dc.subject | Pilot behavior | en_US |
| dc.title | Enhancing pilot-autopilot collaboration in cruising operations through task allocation : a psychophysiological approach | en_US |
| dc.type | Journal/Magazine Article | en_US |
| dc.identifier.doi | 10.1080/10447318.2025.2608264 | - |
| dcterms.abstract | Automation turned pilots into supervisors during cruising, where pilots might experience a decline in vigilance over time and eventually be delinked from the control loop, posing a significant safety threat to flight operations. This research seeks a cockpit automation solution that balances human and task performance with a minimal tradeoff in cognitive workload. Twenty-four cadet pilots performed three flights representing different levels of automation (fully automated, auto-thrust disengaged, and manual flight) on an A320 flight simulator. A performance index was proposed to evaluate human and task performance in each level of automation. Compared to the fully automated flight, results from EEG indicated that disengaging auto-thrust raises pilots’ awareness and concentration while reducing pilots’ drowsiness. The reaction time was also significantly shorter when auto-thrust was disengaged with a nonsignificant cognitive workload increase. Our study empirically concluded that an effective task distribution enhances human-automation teaming and provides design insights on cockpit automations. | - |
| dcterms.accessRights | embargoed access | en_US |
| dcterms.bibliographicCitation | International journal of human-computer interaction, Published online: 31 Dec 2025, Latest Articles, https://doi.org/10.1080/10447318.2025.2608264 | - |
| dcterms.isPartOf | International journal of human-computer interaction | - |
| dcterms.issued | 2026 | - |
| dc.identifier.scopus | 2-s2.0-105026807506 | - |
| dc.identifier.eissn | 1532-7590 | - |
| dc.description.validate | 202603 bcjz | - |
| dc.description.oa | Not applicable | en_US |
| dc.identifier.SubFormID | G001300/2026-02 | en_US |
| dc.description.fundingSource | Others | en_US |
| dc.description.fundingText | The research is supported by Department of Aeronautical and Aviation Engineering, The Hong Kong Polytechnic University, Hong Kong SAR. Our gratitude is also extended to the Research Committee of the Department of Aeronautical and Aviation Engineering, The Hong Kong Polytechnic University for support of the project (RLPA, BDWV, CE1G, RJX2). Cho Yin Yiu is a recipient of the Hong Kong PhD Fellowship [Reference number: PF21-62058]. This study has been granted human ethics approval from the PolyU Institutional Review Board of The Hong Kong Polytechnic University [IRB Reference Number: HSEARS20210318002]. | en_US |
| dc.description.pubStatus | Early release | en_US |
| dc.date.embargo | 2026-12-31 | en_US |
| dc.description.oaCategory | Green (AAM) | en_US |
| Appears in Collections: | Journal/Magazine Article | |
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