A Multi-Method Assessment of Human-AI Interaction in Delivery Driving: Examining Driver Stress, Fatigue, Attention, Situation Awareness, and Risky Driving Behavior

Mario Passalacqua, Robert Pellerin, Sylvain Sénécal and Pierre-Majorique Léger

Book Section (2025)

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Uncontrolled Keywords

• Social Psychology
• Safety, Risk, Reliability and Quality
• Radiological and Ultrasound Technology
• Traffic and Road Safety
• Human-Automation Interaction and Safety
• Occupational Health and Safety Research

Department:	Department of Mathematics and Industrial Engineering
ISBN:	9783031835124
PolyPublie URL:	https://publications.polymtl.ca/66475/
Editors:	Constantinos K. Coursaris, Joerg Beringer, Pierre-Majorique Léger and Burak Öz
Publisher:	Springer International Publishing
DOI:	10.1007/978-3-031-83512-4_15
Official URL:	https://doi.org/10.1007/978-3-031-83512-4_15
Date Deposited:	03 Jul 2025 10:52
Last Modified:	03 Jul 2025 10:53

Cite in APA 7:

Passalacqua, M., Pellerin, R., Sénécal, S., & Léger, P.-M. (2025). A Multi-Method Assessment of Human-AI Interaction in Delivery Driving: Examining Driver Stress, Fatigue, Attention, Situation Awareness, and Risky Driving Behavior. In Coursaris, C. K., Beringer, J., Léger, P.-M., & Öz, B. (eds.), The Design of Human-Centered Artificial Intelligence for the Workplace (pp. 267-279). https://doi.org/10.1007/978-3-031-83512-4_15

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