Erin K. Chiou
Human Systems Engineering
Arizona State University
About Professor Erin K. Chiou
Dr. Erin K. Chiou is an Associate Professor in the Department of Human Systems Engineering at Arizona State University, a leading institution recognized for its innovative research and commitment to addressing complex societal challenges. The Department of Human Systems Engineering is highly esteemed for its interdisciplinary approach, emphasizing the integration of human factors and technology to enhance system performance and safety. With a collaborative academic environment that fosters creativity and critical thinking, ASU provides an exceptional platform for advancing knowledge in human systems and engineering.
🧬Research Focus
Dr. Chiou's research is pivotal in exploring human factors, trust in automation, and human-AI interaction within safety-critical decision-support systems. Her work delves into how individuals build, adjust, and sometimes lose trust in automated systems, with a focus on the implications of explainable AI and effective interface design. By examining sociotechnical systems, she investigates how technology, organizational context, and human cognition converge to influence safety outcomes and performance metrics. This research not only contributes to the development of reliable and user-centered AI systems but also holds the potential for groundbreaking advancements across various sectors, including aviation, defense, healthcare, and education.
🎓Student Fit & Career
Graduate students seeking to work with Dr. Chiou will thrive in an environment that values inquiry into human cognition and technology interaction. Ideal candidates should possess a strong foundation in human factors, engineering, or cognitive psychology, along with an eagerness to explore innovative solutions in decision support and safety science. Dr. Chiou offers academic mentorship that prepares PhD students for diverse career paths, including roles in academia, industry research, and policy development, where they can drive the evolution of human-centered technology and improve collaborative practices between people and intelligent agents.
Research Areas
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