Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/118114
Title: Enhancing pilot-autopilot collaboration in cruising operations through task allocation : a psychophysiological approach
Authors: Yiu, CY 
Li, Q 
Ng, KKH 
Yuan, X 
Issue Date: 2026
Source: International journal of human-computer interaction, Published online: 31 Dec 2025, Latest Articles, https://doi.org/10.1080/10447318.2025.2608264
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.
Keywords: EEG
Human-automation interaction
Human-centred flight operations
Levels of automation
Pilot behavior
Publisher: Taylor & Francis
Journal: International journal of human-computer interaction 
ISSN: 1044-7318
EISSN: 1532-7590
DOI: 10.1080/10447318.2025.2608264
Appears in Collections:Journal/Magazine Article

Open Access Information
Status embargoed access
Embargo End Date 2026-12-31
Access
View full-text via PolyU eLinks SFX Query
Show full item record

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.