Lixiao Huang

Dr. Lixiao Huang serves as a Research Assistant Professor at Arizona State University's Center for Human, Artificial Intelligence, and Robot Teaming (CHART) within the Global Security Initiative, operating under the Ira A. Fulton Schools of Engineering. Her research integrates human factors principles with robotics and AI development to create effective human-technology systems.

Education:

• Ph.D. in Human Factors and Applied Cognition, NC State University
• M.S. in Industrial/Organizational Psychology, Emporia State University
• M.Ed. in Applied Psychology with concentration in Human Resources Development, Beijing Normal University
• B.S. in Applied Psychology, Shanxi University

Dr. Huang's research focuses on three interconnected domains: (1) Human-AI-Robot Teaming effectiveness through Distributed Dynamic Team Trust (D2T2) frameworks; (2) Modeling human emotional, behavioral, and cognitive responses to autonomous systems, particularly examining emotional attachment, intrinsic motivation, and trust dynamics; (3) Applying human factors methods to design user-friendly, safe, and trustworthy human-robot interfaces. Her work bridges robotics engineering with cognitive science to optimize team performance in complex environments.

Analysis of her recent publications reveals a strong emphasis on dynamical systems approaches to human-automation interaction, with increasing focus on physiological metrics for team performance prediction and the development of standardized evaluation frameworks for artificial social intelligence. Her research increasingly incorporates machine learning techniques for real-time system adaptation.

As founding chair of the Human-AI-Robot Teaming (HART) technical group at the Human Factors and Ergonomics Society, Dr. Huang has established herself as a leader in her field. She has served as research lead on multiple high-impact defense projects funded by ARL, ONR, and DARPA, focusing on next-generation combat vehicle systems and search-and-rescue applications.

Dr. Huang directs the Human-Robot Coevolution Laboratory (HuRoCo), which develops experimental testbeds for studying human-technology teaming dynamics. Her lab emphasizes translational research that bridges theoretical human factors principles with practical robotics applications, particularly in safety-critical domains requiring high levels of human-automation coordination.