Sidney D'Mello
Cited by
Cited by
Affect detection: An interdisciplinary review of models, methods, and their applications
RA Calvo, S D'Mello
IEEE Transactions on affective computing 1 (1), 18-37, 2010
Better to be frustrated than bored: The incidence, persistence, and impact of learners’ cognitive–affective states during interactions with three different computer-based …
R Baker, S D’Mello, M Rodrigo, A Graesser
International Journal of human-computer studies 68 (4), 223-241, 2010
Dynamics of affective states during complex learning
S D’Mello, A Graesser
Learning and Instruction 22 (2), 145-157, 2012
Confusion can be beneficial for learning
S D’Mello, B Lehman, R Pekrun, A Graesser
Learning and Instruction 29, 153-170, 2014
Boring but important: a self-transcendent purpose for learning fosters academic self-regulation.
DS Yeager, MD Henderson, D Paunesku, GM Walton, S D'Mello, ...
Journal of personality and social psychology 107 (4), 559, 2014
A review and meta-analysis of multimodal affect detection systems
SK D'mello, J Kory
ACM computing surveys (CSUR) 47 (3), 1-36, 2015
Toward an affect-sensitive AutoTutor
S D'Mello, RW Picard, A Graesser
IEEE Intelligent Systems 22 (4), 53-61, 2007
Automatic detection of learner’s affect from conversational cues
SK D’mello, SD Craig, A Witherspoon, B McDaniel, A Graesser
User modeling and user-adapted interaction 18, 45-80, 2008
AutoTutor and affective AutoTutor: Learning by talking with cognitively and emotionally intelligent computers that talk back
S D'mello, A Graesser
ACM Transactions on Interactive Intelligent Systems (TiiS) 2 (4), 1-39, 2013
Gaze tutor: A gaze-reactive intelligent tutoring system
S D'Mello, A Olney, C Williams, P Hays
International Journal of human-computer studies 70 (5), 377-398, 2012
Multimodal semi-automated affect detection from conversational cues, gross body language, and facial features
SK D’mello, A Graesser
User Modeling and User-Adapted Interaction 20, 147-187, 2010
The Oxford handbook of affective computing
RA Calvo, S D'Mello, JM Gratch, A Kappas
Oxford University Press, USA, 2015
A selective meta-analysis on the relative incidence of discrete affective states during learning with technology.
S D'Mello
Journal of educational psychology 105 (4), 1082, 2013
Mind wandering while reading easy and difficult texts
S Feng, S D’Mello, AC Graesser
Psychonomic bulletin & review 20, 586-592, 2013
Automated detection of engagement using video-based estimation of facial expressions and heart rate
H Monkaresi, N Bosch, RA Calvo, SK D'Mello
IEEE Transactions on Affective Computing 8 (1), 15-28, 2016
Integrating affect sensors in an intelligent tutoring system
KD Sidney, SD Craig, B Gholson, S Franklin, R Picard, AC Graesser
Affective Interactions: The Computer in the Affective Loop Workshop at, 7-13, 2005
Advanced, analytic, automated (AAA) measurement of engagement during learning
S D'Mello, E Dieterle, A Duckworth
Educational psychologist 52 (2), 104-123, 2017
LIDA: A systems-level architecture for cognition, emotion, and learning
S Franklin, T Madl, S D’mello, J Snaider
IEEE Transactions on Autonomous Mental Development 6 (1), 19-41, 2013
The half-life of cognitive-affective states during complex learning
S D'Mello, A Graesser
Cognition & Emotion 25 (7), 1299-1308, 2011
Monitoring affective trajectories during complex learning
S D'Mello, A Graesser
Proceedings of the annual meeting of the cognitive science society 29 (29), 2007
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