Exploring Human-Autonomy Teams in Automated Driving System Operations

Risk Institute researchers to present at the 4th IEEE International Conference on Human-Machine Systems (ICHMS) in Toronto, Ontario, Canada on 15-17 May, 2024.

Paper accepted is titled "Exploring Human-Autonomy Teams in Automated Driving System Operations" authored by authored by Camila Correa-Jullian, Marilia Ramos, Ali Mosleh, and Jiaqi Ma.

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.

The theme of the 4th ICHMS is “Trustworthy Human-Autonomy Teaming”. The conference will specifically cover progress and contributions on brain-inspired autonomous systems at multiple scales, including cognitive science, engineering, and design for safe and trusted human-autonomy teaming; technological aids for verifiable artificial intelligence (AI) decisions; trust modeling, measures, and management, and fundamental issues of trust and barriers to adoption of AI-enabled autonomy in complex socio-technical systems.