Assistant Professor and Assistant Professor of Psychology
College of Engineering
Ph.D., Computer Science, University of Memphis, 2009
M.S., Mathematical Sciences, University of Memphis, 2004
B.S., Electrical Engineering, Christian Brothers University, 2002
Sidney D’Mello is an Assistant Professor in the departments of Psychology and Computer Science at the University of Notre Dame. His primary research interests are in the cognitive and affective sciences, artificial intelligence, human-computer interaction, and the learning sciences. More specific interests include affective computing, artificial intelligence in education, speech recognition and natural language understanding, and computational models of human cognition.
D'Mello's research focuses on uncovering the incidence, dynamics, and influence of affective and cognitive states (e.g., confusion, boredom, mind wandering, frustration) during complex learning and problem solving, applying computational techniques to model these states in context, and integrating the models in learning environments to adaptively respond to the sensed states. His research uses a range of techniques and paradigms ranging from eye tracking, discourse modeling, speech recognition, physiological sensing, facial feature and posture tracking, nonlinear time series analyses, and machine learning. Learning contexts range from advanced learning technologies such as intelligent tutoring systems and educational games to simpler interfaces that support reading, text-diagram integration, and writing. D'Mello has co-edited five books and has published over 180 journal papers, book chapters, and conference proceedings in these areas.
D’Mello is an associate editor for IEEE Transactions on Affective Computing and IEEE Transactions on Learning Technologies, a senior reviewer for the Journal of Educational Psychology, and serves on the executive board of the International Artificial Intelligence in Education Society and Educational Data Mining Society.
Summary of Activities/Interests
Affective computing, human-computer interaction, artificial intelligence, advanced learning technologies
November 29, 2016
November 29, 2016
Blending Psychology and Computer Science, Professor Seeks to Build Technologies That Help Humans Learn
January 14, 2016
December 15, 2015
October 9, 2015