Erin Chiou

I am an Assistant Professor of Human Systems Engineering and the Director of the Automation Design Advancing People and Technology (ADAPT) Laboratory. In addition to my faculty role, I am an affiliate researcher of the Center for Human, AI, and Robot Teaming (CHART), part of the Global Security Initiative at Arizona State University. I am also currently serving on the National Academies of Sciences, Engineering, and Medicine Panel on Human Factors Science at the Army Research Laboratory.

I received my Ph.D. and M.S. in Industrial and Systems Engineering from the University of Wisconsin-Madison, with a concentration in Human Factors and Ergonomics and minor in Health Systems. Prior to graduate school, I worked in various industries, including smart medical devices and at an education startup. I received my B.S. in Psychology and Philosophy at the University of Illinois at Urbana-Champaign.

I study how cyber-human, human-agent, and sociotechnical systems impact human cognitive and social capabilities, cooperation and teamwork, and decision-making performance. I do this by imagining future scenarios of people interacting with technology, simulating those scenarios, and testing those scenarios to see how people react. This research is critical because the future of work will increasingly involve people collaborating with autonomous systems, artificial intelligence, robots and other advanced manufacturing automation.

My research laboratory (ADAPT LAB) is equipped to conduct mixed methods field research and data analytics in simulated virtual environments to advance our understanding of how people, automation, and organizational processes can improve productivity, quality, and safety in our world. Our main research interests include:

• Accountability in sociotechnical systems
• Human-AI decision-making performance
• Human-agent cooperation to support system resilience
• Social exchange factors in human-automation interaction
• Health systems engineering and health information technology
• Human-computer interaction
• Trust in automation