Lixiao Huang, Ph.D. | Human Factors and Applied Cognition
|
I am a Research Assistant professor at the Center for Human, Artificial Intelligence, and Robot Teaming (CHART) under Global Security Initiative at Arizona State University. I completed my Ph.D. in Human Factors and Applied Cognition from North Carolina State University in 2016 and Postdoc in the Humans and Autonomy Lab (HAL) at Duke University in 2018. I am the founding chair of the Human–AI–Robot Teaming (HART) technical group at Human Factors and Ergonomics Society, advocating cutting-edge HART research, interdisciplinary collaboration, and advanced testbeds and analytics. I have worked on ARL, ONR, and DARPA research projects as a research lead. My research interests include (a) Human–AI–Robot Teaming effectiveness; (b) Humans’ responses modeling (i.e., emotional states, behavioral patterns, and cognitive processes) to robots and technologies, especially emotional attachment, intrinsic motivation, coordination, trust, and metacognition; (c) The design of human-robot systems using Human Factors methods to make AI and robots effective, safe, user-friendly, trustworthy, and engaging.
RESEARCH VISION I direct the Human-Robot Coevolution Lab to study human-AI-robot teaming to improve HART effectiveness and human wellbeing. My research vision consists of three aspects: (a) the exploration of humans' emotional, behavioral, and cognitive responses to robots, especially emotional attachment, intrinsic motivation, and trust in autonomy, (b) the application of Human Factors (HF) principles to human–robot interface design for better team effectiveness, and (c) the effective education of robotics and HRI. I strive to bridge the gap between robotics and human factors so the two disciplines can work together for optimal outcomes. 
|
