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 | 367 | 2016 |
Improving automated source code summarization via an eye-tracking study of programmers P Rodeghero, C McMillan, PW McBurney, N Bosch, SK D'Mello Proceedings of the 36th international conference on Software engineering …, 2014 | 265 | 2014 |
Automatic detection of learning-centered affective states in the wild N Bosch, SK D'Mello, RS Baker, J Ocumpaugh, V Shute, M Ventura, ... Proceedings of the 20th international conference on intelligent user …, 2015 | 216 | 2015 |
Automated video interview personality assessments: Reliability, validity, and generalizability investigations L Hickman, N Bosch, V Ng, R Saef, L Tay, SE Woo Journal of Applied Psychology 107 (8), 1323-1351, 2021 | 161 | 2021 |
Modeling how incoming knowledge, persistence, affective states, and in-game progress influence student learning from an educational game VJ Shute, SK D'Mello, RS Baker, K Cho, N Bosch, J Ocumpaugh, ... Computers & Education 86, 224-235, 2015 | 161 | 2015 |
Disengagement during lectures: Media multitasking and mind wandering in university classrooms JD Wammes, BCW Ralph, C Mills, N Bosch, TL Duncan, D Smilek Computers & Education 132, 76-89, 2019 | 156 | 2019 |
The affective experience of novice computer programmers N Bosch, SK D’Mello International Journal of Artificial Intelligence in Education 27 (1), 181-206, 2017 | 148 | 2017 |
Using video to automatically detect learner affect in computer-enabled classrooms N Bosch, SK D'Mello, J Ocumpaugh, RS Baker, V Shute ACM Transactions on Interactive Intelligent Systems (TiiS) 6 (2), 1-26, 2016 | 143 | 2016 |
Detecting student emotions in computer-enabled classrooms. N Bosch, SK D'Mello, RS Baker, J Ocumpaugh, V Shute, M Ventura, ... IJCAI 16, 4125-4129, 2016 | 114 | 2016 |
Expert feature-engineering vs. deep neural networks: Which is better for sensor-free affect detection? Y Jiang, N Bosch, RS Baker, L Paquette, J Ocumpaugh, JMAL Andres, ... International Conference on Artificial Intelligence in Education, 198-211, 2018 | 106 | 2018 |
Automated gaze-based mind wandering detection during computerized learning in classrooms S Hutt, K Krasich, C Mills, N Bosch, S White, JR Brockmole, SK D’Mello User Modeling and User-Adapted Interaction 29, 821-867, 2019 | 104 | 2019 |
What emotions do novices experience during their first computer programming learning session? N Bosch, SK D’Mello, C Mills International Conference on Artificial Intelligence in Education, 11-20, 2013 | 98 | 2013 |
It’s written on your face: detecting affective states from facial expressions while learning computer programming N Bosch, Y Chen, SK D’Mello International Conference on Intelligent Tutoring Systems, 39-44, 2014 | 92 | 2014 |
Student emotion, co-occurrence, and dropout in a MOOC context J Dillon, N Bosch, M Chetlur, N Wanigasekara, GA Ambrose, B Sengupta, ... International Conference on Educational Data Mining (EDM), 553-556, 2016 | 82 | 2016 |
Automatic detection of mind wandering from video in the lab and in the classroom N Bosch, SK D'Mello IEEE Transactions on Affective Computing 12 (4), 974-988, 2019 | 72 | 2019 |
Detecting student engagement: Human versus machine N Bosch Proceedings of the 2016 Conference on User Modeling Adaptation and …, 2016 | 65 | 2016 |
"Out of the fr-eye-ing pan" Towards gaze-based models of attention during learning with technology in the classroom S Hutt, C Mills, N Bosch, K Krasich, J Brockmole, SK D'Mello Proceedings of the 25th Conference on User Modeling, Adaptation and …, 2017 | 62 | 2017 |
Developing and evaluating language-based machine learning algorithms for inferring applicant personality in video interviews L Hickman, R Saef, V Ng, SE Woo, L Tay, N Bosch Human Resource Management Journal, 2021 | 60 | 2021 |
Zone out no more: Mitigating mind wandering during computerized reading SK D'Mello, C Mills, R Bixler, N Bosch International Conference on Educational Data Mining (EDM), 8-15, 2017 | 53 | 2017 |
Using machine learning for real-time BAC estimation from a new-generation transdermal biosensor in the laboratory CE Fairbairn, D Kang, N Bosch Drug and Alcohol Dependence, 108205, 2020 | 52 | 2020 |