The Human-Automation Collaboration (HAC) Lab, directed by Dr. Jing Chen, focuses on how people interact with automated systems, ranging from semi-autonomous vehicles to cybersecurity systems. Specifically, the research focuses on human trust, decision making, and risk taking, as well as design considerations to better assist users in their goals.Â
Research by the HAC lab is partly funded by the National Science Foundation and the National Aeronautics and Space Administration:
NASA Award, TTT: Adaptive Methods of Human-Autonomy Responsibility Allocation for Scalable and Safe m:N Operational Architectures (PI), 2023-2026
NSF Award, IIS core: CHS: Small: AI-Human Collaboration in Autonomous Vehicles for Safety and Security (PI), 2020-2025
NSF Award, SCC-IRG Track 2: Scalable Modeling and Adaptive Real-time Trust-based communication (SMARTc) system for roadway inundations in flood-prone communities (Co-PI), 2020-2025
NSF Award, REU Site: Interdisciplinary Research Experience in Behavioral Sciences of Transportation (Co-PI), 2020-2023
NSF Award, CRII: CHS: Human in the Loop: Safety for Semi-autonomous Driving Systems in Emergency Situations (Sole PI), 2016-2019