Michael J. Miller, Ph.D., is a Visiting Professor in the Department of Psychology at Clark University. His teaching and scholarship draw from psychology, communication science, nonverbal behavior, emotion research, research methodology, and emerging work on human–AI interaction and collaboration. He earned his Ph.D. in Communication Sciences from the University of Connecticut and his M.A. in Communication from the University of Wisconsin–Stevens Point.
At Clark, Dr. Miller teaches across the psychology curriculum, including Introductory Psychology, Experimental Research Methods, Graduate Statistics, Biological Bases of Behavior, and seminars focused on communication, affect, and human interaction. His teaching emphasizes conceptual clarity, methodological reasoning, student-centered learning, and the application of psychological science to real-world questions. He is especially interested in helping students develop confidence with research design, statistics, scientific writing, and the interpretation of complex human behavior.
Dr. Miller’s research examines how people communicate emotion across interpersonal, cultural, embodied, and technological contexts. His earlier work focused on nonverbal communication, touch, attachment, jealousy, and social interaction, with publications in outlets including Personal Relationships, the Journal of Nonverbal Behavior, the APA Handbook of Nonverbal Communication, and Cambridge University Press’s Social Signal Processing. His current work includes research on touch hunger and embodied social connection, dynamic approaches to emotion and expression, and theoretical and methodological questions surrounding human–AI interaction.
More recently, Dr. Miller has developed a research and publication program examining AI as a participant in teaching, writing, scientific inquiry, theory development, and collaborative problem-solving. He is the founding editor and publisher of Una Mens, an interdisciplinary journal exploring inquiry across fields, including human–AI collaboration, attribution, transparency, scholarly responsibility, and emerging forms of knowledge production. Through this work, he is especially interested in how humans and AI systems influence one another during sustained interaction, how contributions can be represented transparently, and how new forms of collaboration can be studied without abandoning human accountability.
Areas of expertise and interest: nonverbal communication, emotion, interpersonal communication, research methods and statistics, touch communication, human–AI interaction and collaboration, and AI in teaching and scholarship.
