| 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 | 1947 | 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 | 1163 | 2010 |
| Dynamics of affective states during complex learning S D’Mello, A Graesser Learning and Instruction 22 (2), 145-157, 2012 | 1010 | 2012 |
| Confusion can be beneficial for learning S D’Mello, B Lehman, R Pekrun, A Graesser Learning and Instruction 29, 153-170, 2014 | 917 | 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 | 669 | 2014 |
| Toward an affect-sensitive AutoTutor S D'Mello, RW Picard, A Graesser IEEE Intelligent Systems 22 (4), 53-61, 2007 | 572 | 2007 |
| A review and meta-analysis of multimodal affect detection systems SK D'mello, J Kory ACM computing surveys (CSUR) 47 (3), 1-36, 2015 | 563 | 2015 |
| 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 | 452 | 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 | 447 | 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 | 425 | 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 | 414 | 2010 |
| The Oxford handbook of affective computing RA Calvo, S D'Mello, JM Gratch, A Kappas Oxford University Press, USA, 2015 | 368 | 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 | 359 | 2013 |
| Mind wandering while reading easy and difficult texts S Feng, S D’Mello, AC Graesser Psychonomic bulletin & review 20, 586-592, 2013 | 348 | 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 | 325 | 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 | 314 | 2005 |
| Advanced, analytic, automated (AAA) measurement of engagement during learning S D'Mello, E Dieterle, A Duckworth Educational psychologist 52 (2), 104-123, 2017 | 259 | 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 | 259 | 2013 |
| The half-life of cognitive-affective states during complex learning S D'Mello, A Graesser Cognition & Emotion 25 (7), 1299-1308, 2011 | 257 | 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 | 247 | 2007 |
Ryan BakerUniversity of PennsylvaniaDirección de correo verificada de upenn.edu
