Sidney D'Mello

Contact Information

sidney_dmello Sidney D'Mello
Assistant Professor
224 C Haggar Hall
574.631.8322
sdmello@nd.edu

Department/affiliation

Psychology and Computer Science

Degrees

Ph.D., University of Memphis

M.S., University of Memphis

B.S. Christian Brothers University

Research interests

Cognitive and Affective Sciences

Artificial Intelligence

Human-Computer Interaction

The Learning Sciences

Honors/awards

James Chen Best Student Paper Award (2014). Bixler, R., & D'Mello, S. (2014). Toward Fully Automated Person-Independent Detection of Mind Wandering. In V. Dimitrova, T. Kuflik, D. Chin, F. Ricci, P. Dolog & G.-J. Houben (Eds.), Proceedings of the 22nd International Conference on User Modeling, Adaptation, and Personalization (pp. 37-48). Switzerland: Springer International Publishing.

ACM Distinguished Paper award (2014). Rodeghero, P., McMillan, C., McBurney, P., Bosch, N., & D’Mello, S. K. (2014). Improving Automated Source Code Summarization via an Eye-Tracking Study of Programmers. In Proceedings of the 36th International Conference on Software Engineering (ICSE 2014) (pp. 390-401), ACM: New York, NY.

Outstanding Reviewer Award (2010): Tenth International Conference on Intelligent Tutoring Systems (2010).

Select publications

D’Mello, S. K. & Graesser A. C. (2014). Confusion and its Dynamics during Device Comprehension with Breakdown Scenarios, Acta Psychologica, 151, 106-116. (IF = 2.37; 5Y IF =3.02).

D’Mello, S. K., & Mills, C. (2014).  Emotions while Writing about Emotional and Non-emotional Topics, Motivation and Emotion, 38(1), 140-156.

D'Mello, S. K., Lehman, B. Pekrun, R., & Graesser, A. C. (2014). Confusion Can be Beneficial For Learning, Learning & Instruction, 29(1), 153-170.

Bio

Sidney D’Mello received his Ph.D. in Computer Science from the University of Memphis in 2009.  His research interests include the cognitive and affective sciences, artificial intelligence, human-computer interaction, and the learning sciences.  It 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.  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.  He is an assistant professor in the Departments of Psychology and Computer Science at the University of Notre Dame.

http://psychology.nd.edu/assets/143329/dmello_14.pdf