Conference: Exploring Human-Autonomy Teams in Automated Driving System Operations
Published in 4th IEEE International Conference on Human-Machine Systems (IEEE ICHMS 2024), 2024
Recommended citation: C. Correa-Jullian, M. Ramos, A. Mosleh and J. Ma, "Exploring Human-Autonomy Teams in Automated Driving System Operations," 2024 IEEE 4th International Conference on Human-Machine Systems (ICHMS), Toronto, ON, Canada, 2024, pp. 1-6, doi: 10.1109/ICHMS59971.2024.10555762.
Abstract
Advancing our understanding of human-autonomous system collaboration is a critical task for the safer design of complex socio-technical systems. The adoption of Automated Driving Systems (ADS) in mobility services and in privately-owned vehicles is expected to have a major impact on the transportation environment. From a safety and risk assessment perspective, it is of interest to define, model and assess the interactions, collaborations, and teaming that can occur between human and autonomous agents in ADS operations. This work draws from the Information, Decision, and Action in Crew context (IDAC) cognitive model to explore interactions and errors across different teams in ADS contexts. Two cases of Human-Autonomy Teams (HATs) are discussed, focusing on remote operators and on-board drivers collaborating with ADS-equipped vehicles.
Keywords: human-autonomy teams, automated driving systems, remote operators, driver-vehicle interaction
View Conference Presentation here
Recommended citation: C. Correa-Jullian, M. Ramos, A. Mosleh and J. Ma, “Exploring Human-Autonomy Teams in Automated Driving System Operations,” 2024 IEEE 4th International Conference on Human-Machine Systems (ICHMS), Toronto, ON, Canada, 2024, pp. 1-6, doi: 10.1109/ICHMS59971.2024.10555762.