Multimodal modeling of collaborative problem-solving facets in triads
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Transformer models have significantly revolutionized AI, especially NLP, due to their higher efficiency and scalability.
“Transformer models have significantly revolutionized the field of AI, especially in NLP, due to their higher efficiency and scalability [139], [140], [141].”
From From Google Gemini to OpenAI Q* (Q-Star): A Survey on Reshaping the Generative Artificial Intelligence (AI) Research Landscape (2025) · cites this paper as [141]
Cites
Hochreiter, S., & Schmidhuber, J. (1997) · Neural Computation · doi:10.1162/neco.1997.9.8.1735 · Cited by 102,318 · see citing works
Glove: Global Vectors for Word Representation
Pennington, J., Socher, R., & Manning, C. (2014) · Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP) · doi:10.3115/v1/d14-1162 · Cited by 34,071 · see citing works
(2014) · Cited by 33,419 · see citing works
The meaning and use of the area under a receiver operating characteristic (ROC) curve.
Hanley, J. A., & McNeil, B. J. (1982) · Radiology · doi:10.1148/radiology.143.1.7063747 · Cited by 21,856 · see citing works
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate ShiftPreprint
Ioffe, S. (2024) · arXiv (Cornell University) · doi:10.57702/o9raffed · Cited by 15,273 · see citing works
Pattern Recognition and Machine Learning
(2006) · doi:10.1007/978-0-387-45528-0 · Cited by 9,824 · see citing works
A very brief measure of the Big-Five personality domains
Gosling, S. D., Rentfrow, P. J., & Swann, W. B. (2003) · Journal of Research in Personality · doi:10.1016/s0092-6566(03)00046-1 · Cited by 8,307 · see citing works
The Psychological Meaning of Words: LIWC and Computerized Text Analysis Methods
Tausczik, Y. R., & Pennebaker, J. W. (2010) · Journal of Language and Social Psychology · doi:10.1177/0261927x09351676 · Cited by 5,774 · see citing works
Word association norms, mutual information, and lexicography
Church, K., & Hanks, P. (1990) · doi:10.5555/89086.89095 · Cited by 3,644 · see citing works
Imbalanced-learn: A Python Toolbox to Tackle the Curse of Imbalanced Datasets in Machine LearningPreprint
Lemaître, G., Nogueira, F., & Aridas, C. K. (2016) · Journal of machine learning research · doi:10.48550/arxiv.1609.06570 · Cited by 2,733 · see citing works
Some functions of gaze-direction in social interaction
Kendon, A. (1967) · Acta Psychologica · doi:10.1016/0001-6918(67)90005-4 · Cited by 2,524 · see citing works
The Construction of Shared Knowledge in Collaborative Problem Solving.
Roschelle, J., & Teasley, S. D. (1995) · Computer Supported Collaborative Learning · doi:10.1007/978-3-642-85098-1_5 · Cited by 2,274 · see citing works
Ekman, P., & Rosenberg, E. L. (2005) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780195179644.001.0001 · Cited by 1,975 · see citing works
Is there a “Big Five” in Teamwork?
Salas, E., Sims, D. E., & Burke, C. S. (2005) · Small Group Research · doi:10.1177/1046496405277134 · Cited by 1,930 · see citing works
NLTK: The Natural Language ToolkitPreprint
Loper, E., & Bird, S. (2002) · arXiv (Cornell University) · doi:10.48550/arxiv.cs/0205028 · Cited by 1,893 · see citing works
Ng, A. Y. (2004) · Twenty-first international conference on Machine learning - ICML '04 · doi:10.1145/1015330.1015435 · Cited by 1,572 · cited 2× · see citing works
“We experimented with batch normalization (Ioffe and Szegedy 2015), l2 weight regularization (Ng 2004), and dropout (Srivastava et al. 2014) to prevent overfitting.”
MethodGroup Performance and Decision Making
Kerr, N. L., & Tindale, R. S. (2004) · Annual Review of Psychology · doi:10.1146/annurev.psych.55.090902.142009 · Cited by 1,332 · see citing works
PISA 2015 Results (Volume I): Excellence and Equity in Education
OECD (2016) · PISA · doi:10.1787/9789264266490-en · Cited by 1,316 · see citing works
Incorporating Nesterov Momentum into Adam
Dozat, T. (2016) · Cited by 1,293 · see citing works
Recent developments in openSMILE, the munich open-source multimedia feature extractor
Eyben, F., Weninger, F. J., Gross, F., & Schuller, B. W. (2013) · ACM International Conference on Multimedia (ACM MM) · doi:10.1145/2502081.2502224 · Cited by 1,265 · see citing works
Gwet, K. L. (2014) · Medical Entomology and Zoology · Cited by 1,095 · see citing works
Deep Captioning with Multimodal Recurrent Neural Networks (m-RNN)Preprint
Mao, J., Xu, W., Yang, Y., Wang, J., Huang, Z., & Yuille, A. (2014) · arXiv (Cornell University) · doi:10.48550/arxiv.1412.6632 · Cited by 1,039 · see citing works
Mood and emotions in small groups and work teams
Kelly, J. R., & Barsade, S. G. (2001) · Organizational Behavior and Human Decision Processes · doi:10.1006/obhd.2001.2974 · Cited by 1,011 · see citing works
Nonverbal Behavior and the Vertical Dimension of Social Relations: A Meta-Analysis.
Hall, J. A., Coats, E. J., & LeBeau, L. S. (2005) · Psychological Bulletin · doi:10.1037/0033-2909.131.6.898 · Cited by 811 · see citing works
Book Review: Pattern Recognition and Machine Learning
Nasrabadi, N. M. (2007) · Journal of Electronic Imaging · doi:10.1117/1.2819119 · Cited by 636 · see citing works
Interpersonal autonomic physiology: a systematic review of the literature
Palumbo, R. V., Marraccini, M. E., Weyandt, L. L., Wilder-Smith, O., McGee, H. A., Liu, S., & Goodwin, M. S. (2017) · Personality and Social Psychology Review · doi:10.1177/1088868316628405 · Cited by 566 · see citing works
The computer expression recognition toolbox (CERT)
Littlewort, G. C., Whitehill, J., Wu, T., Fasel, I., Frank, M. G., Movellan, J. R., & Bartlett, M. S. (2011) · International Conference on Automatic Face and Gesture Recognition · doi:10.1109/fg.2011.5771414 · Cited by 550 · see citing works
A Framework for Teachable Collaborative Problem Solving Skills
Hesse, F., Care, E., Buder, J., Sassenberg, K., & Griffin, P. (2015) · Assessment and Teaching of 21st Century Skills · doi:10.1007/978-94-017-9395-7_2 · Cited by 507 · see citing works
The Art of Conversation Is Coordination
Richardson, D. C., Dale, R. A. C., & Kirkham, N. Z. (2007) · Psychological Science · doi:10.1111/j.1467-9280.2007.01914.x · Cited by 485 · see citing works
Interpersonal synchrony: a survey of evaluation methods across disciplines.
Delaherche, E., Chetouani, M., Mahdhaoui, A., Saint-Georges, C., Viaux, S., & Cohen, D. (2012) · IEEE Transactions on Affective Computing · doi:10.1109/t-affc.2012.12 · Cited by 474 · see citing works
Bird, S., & Loper, E. (2004) · doi:10.3115/1219044.1219075 · Cited by 404 · see citing works
Advancing the Science of Collaborative Problem Solving
Graesser, A. C., Fiore, S. M., Greiff, S., Andrews-Todd, J., Foltz, P. W., & Hesse, F. W. (2018) · Psychological Science in the Public Interest · doi:10.1177/1529100618808244 · Cited by 390 · see citing works
Rosé, C., Wang, Y.-C., Cui, Y., Arguello, J., Stegmann, K., Weinberger, A., & Fischer, F. (2008) · International Journal of Computer-Supported Collaborative Learning · doi:10.1007/s11412-007-9034-0 · Cited by 351 · see citing works
Dialog as interpersonal synergy
Fusaroli, R., Rączaszek-Leonardi, J., & Tylén, K. (2014) · New Ideas in Psychology · doi:10.1016/j.newideapsych.2013.03.005 · Cited by 317 · see citing works
The Changing Role of Education and Schools
Griffin, P., Care, E., & McGaw, B. (2011) · Springer eBooks · doi:10.1007/978-94-007-2324-5_1 · Cited by 285 · see citing works
Towards a generalized competency model of collaborative problem solving
Sun, C., Shute, V. J., Stewart, A., Yonehiro, J., Duran, N., & D'Mello, S. (2020) · Computers & Education · doi:10.1016/j.compedu.2019.103672 · Cited by 189 · see citing works
Self-citationEstimating Cohesion in Small Groups Using Audio-Visual Nonverbal Behavior
Hung, H., & Gática-Pérez, D. (2010) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2010.2055233 · Cited by 181 · see citing works
Spikol, D., Ruffaldi, E., Dabisias, G., & Cukurova, M. (2018) · Journal of Computer Assisted Learning · doi:10.1111/jcal.12263 · Cited by 180 · see citing works
Ten things we've learned from Blockly
Fraser, N. (2015) · IEEE Blocks and Beyond Workshop (B&B) · doi:10.1109/blocks.2015.7369000 · Cited by 173 · see citing works
Andrews‐Todd, J., & Forsyth, C. M. (2018) · Computers in Human Behavior · doi:10.1016/j.chb.2018.10.025 · Cited by 158 · see citing works
Automatically Building a Stopword List for an Information Retrieval System.
Lo, R. T.-W., He, B., & Ounis, I. (2005) · Journal of Digital Information Management · Cited by 148 · see citing works
Gaze and turn-taking behavior in casual conversational interactions
Jokinen, K., Furukawa, H., Nishida, M., & Yamamoto, S. (2013) · ACM Transactions on Interactive Intelligent Systems · doi:10.1145/2499474.2499481 · Cited by 135 · see citing works
Schulze, J., & Krumm, S. (2016) · Organizational Psychology Review · doi:10.1177/2041386616675522 · Cited by 132 · see citing works
The NISPI framework: Analysing collaborative problem-solving from students' physical interactions
Cukurova, M., Luckin, R., Millán, E., & Mavrikis, M. (2017) · Computers & Education · doi:10.1016/j.compedu.2017.08.007 · Cited by 130 · see citing works
Photo-real talking head with deep bidirectional LSTM
Fan, B., Wang, L., Soong, F. K., & Xie, L. (2015) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp.2015.7178899 · Cited by 126 · see citing works
Collaborative Problem-Solving Education for the Twenty-First-Century Workforce
Fiore, S. M., Graesser, A., & Greiff, S. (2018) · Nature Human Behaviour · doi:10.1038/s41562-018-0363-y · Cited by 113 · see citing works
Acoustic-Prosodic Entrainment and Social Behavior
Levitan, R., Gravano, A., Willson, L., Hirschberg, J., & Nenkova, A. (2013) · Cited by 99 · see citing works
Greene, R. W. (2010) · Springer eBooks · doi:10.1007/978-1-4419-6297-3_8 · Cited by 96 · see citing works
Tegos, S., Demetriadis, S., & Karakostas, A. (2015) · Computers & Education · doi:10.1016/j.compedu.2015.07.014 · Cited by 90 · see citing works
Speech-Driven 3D Facial Animation with Implicit Emotional Awareness: A Deep Learning Approach
Pham, H., Cheung, S., & Pavlović, V. (2017) · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw.2017.287 · Cited by 85 · see citing works
Detecting Low Rapport During Natural Interactions in Small Groups from Non-Verbal Behaviour
Müller, P., Huang, M. X., & Bulling, A. (2018) · ACM International Conference on Intelligent User Interfaces (IUI) · doi:10.1145/3172944.3172969 · Cited by 85 · see citing works
Yoo, J., & Kim, J. (2013) · International Journal of Artificial Intelligence in Education · doi:10.1007/s40593-013-0010-8 · Cited by 82 · see citing works
Amon, M. J., Vrzáková, H., & D’Mello, S. K. (2019) · Cognitive Science · doi:10.1111/cogs.12787 · Cited by 73 · see citing works
Self-citationMovement Coordination during Conversation
Latif, N., Barbosa, A. V., Vatiokiotis-Bateson, E., Castelhano, M. S., & Munhall, K. G. (2014) · PLoS ONE · doi:10.1371/journal.pone.0105036 · Cited by 72 · see citing works
Tegos, S. D., Demetriadis, S., Papadopoulos, P. M., & Weinberger, A. (2016) · International Journal of Computer-Supported Collaborative Learning · doi:10.1007/s11412-016-9246-2 · Cited by 71 · see citing works
Faucett, H. A., Lee, M. L., & Carter, S. (2017) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3134679 · Cited by 69 · see citing works
Lu, J., Chiu, M. M., & Law, N. W. Y. (2010) · Computers in Human Behavior · doi:10.1016/j.chb.2010.11.021 · Cited by 61 · see citing works
Skills for Today: What We Know about Teaching and Assessing Collaboration.
Lai, E., DiCerbo, K. E., & Foltz, P. W. (2017) · Cited by 61 · see citing works
Samrose, S., Zhao, R., White, J., Li, V., Nova, L. C. M., Lu, Y., Ali, M. R., & Hoque, M. E. (2018) · Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies · doi:10.1145/3161186 · Cited by 59 · see citing works
Systems Responses to Progressive Water Stress in Durum Wheat
Habash, D. Z., Baudo, M., Hindle, M., Powers, S. J., Platel, M. D., Mitchell, R. A. C., Saqi, M. A. S., Rawlings, C., Latiri, K., Araus, J. L., et al. (2014) · PLoS ONE · doi:10.1371/journal.pone.0108431 · Cited by 57 · see citing works
Multimodal end-of-turn prediction in multi-party meetings
de Kok, I., & Heylen, D. (2009) · INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION · doi:10.1145/1647314.1647332 · Cited by 57 · see citing works
Rosen, Y. (2015) · International Journal of Artificial Intelligence in Education · doi:10.1007/s40593-015-0042-3 · Cited by 56 · see citing works
Technology enhanced assessment in complex collaborative settings
Webb, M., & Gibson, D. (2015) · Education and Information Technologies · doi:10.1007/s10639-015-9413-5 · Cited by 55 · see citing works
Modelling collaborative problem-solving competence with transparent learning analytics
Cukurova, M., Zhou, Q., Spikol, D., & Landolfi, L. (2020) · International Conference on Learning Analytics and Knowledge (LAK) · doi:10.1145/3375462.3375484 · Cited by 55 · see citing works
Predicting Influential Statements in Group Discussions using Speech and Head Motion Information
Nihei, F., Nakano, Y., Hayashi, Y., Hung, H.-H., & Okada, S. (2014) · INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION · doi:10.1145/2663204.2663248 · Cited by 54 · see citing works
Multimodal analytics to study collaborative problem solving in pair programming
Grover, S., Bienkowski, M. A., Tamrakar, A., Siddiquie, B., Salter, D., & Divakaran, A. (2016) · International Conference on Learning Analytics and Knowledge (LAK) · doi:10.1145/2883851.2883877 · Cited by 52 · see citing works
Identifying emergent leadership in small groups using nonverbal communicative cues
Sánchez-Cortés, D., Aran, O., Mast, M. S., & Gática-Pérez, D. (2010) · INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION · doi:10.1145/1891903.1891953 · Cited by 51 · see citing works
Stewart, A., Vrzáková, H., Sun, C., Yonehiro, J., Stone, C., Duran, N. D., Shute, V. J., & D’Mello, S. K. (2019) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3359296 · Cited by 51 · see citing works
Self-citationConversing with a devil’s advocate: Interpersonal coordination in deception and disagreement
Duran, N. D., & Fusaroli, R. (2017) · PLoS ONE · doi:10.1371/journal.pone.0178140 · Cited by 50 · see citing works
Vrzáková, H., Amon, M. J., Stewart, A., Duran, N. D., & D’Mello, S. K. (2020) · International Conference on Learning Analytics and Knowledge (LAK) · doi:10.1145/3375462.3375467 · Cited by 49 · see citing works
Self-citationFigures of merit for assessing connected-word recognisers
Hunt, M. J. (1990) · Speech Communication · doi:10.1016/0167-6393(90)90008-w · Cited by 47 · see citing works
Computational Psychometrics for the Measurement of Collaborative Problem Solving Skills
Polyak, S. T., von Davier, A. A., & Peterschmidt, K. (2017) · Frontiers in Psychology · doi:10.3389/fpsyg.2017.02029 · Cited by 47 · see citing works
Predicting Group Performance in Task-Based Interaction
Murray, G., & Oertel, C. (2018) · ACM International Conference on Multimodal Interaction (ICMI) · doi:10.1145/3242969.3243027 · Cited by 47 · see citing works
Beyond Academics: A Holistic Framework for Enhancing Education and Workplace Success
Camara, W. J., Mattern, K. D., & Hanson, M. A. (2015) · Cited by 46 · see citing works
Detecting emergent leader in a meeting environment using nonverbal visual features only
Beyan, C., Carissimi, N., Capozzi, F., Vascon, S., Bustreo, M., Pierro, A., Becchio, C., & Murino, V. (2016) · INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION · doi:10.1145/2993148.2993175 · Cited by 45 · see citing works
Sinha, T., & Cassell, J. (2015) · doi:10.1145/2823513.2823516 · Cited by 44 · see citing works
Automated classification of collaborative problem solving interactions in simulated science tasks
Flor, M., Yoon, S., Hao, J., Liu, L., & von Davier, A. A. (2016) · Workshop on Innovative Use of NLP for Building Educational Applications · doi:10.18653/v1/w16-0504 · Cited by 44 · see citing works
Towards Academically Productive Talk Supported by Conversational Agents
Dyke, G., Adamson, D., Howley, I. K., & Rosé, C. P. (2012) · Lecture notes in computer science · doi:10.1007/978-3-642-30950-2_69 · Cited by 41 · see citing works
Prata, D. N., Baker, R. S., Costa, E. D. B., Rosé, C. P., Cui, Y. J., & de Carvalho, A. M. J. B. (2009) · Cited by 40 · see citing works
Motion Tracker: Camera-Based Monitoring of Bodily Movements Using Motion Silhouettes
Kory-Westlund, J. M., D’Mello, S. K., & Olney, A. M. (2015) · PLoS ONE · doi:10.1371/journal.pone.0130293 · Cited by 40 · see citing works
Self-citationLipton, Z. C., Kale, D. C., & Wetzel, R. C. (2016) · arXiv (Cornell University) · Cited by 39 · see citing works
Modeling Collaboration Patterns on an Interactive Tabletop in a Classroom Setting
Evans, A. C., Wobbrock, J. O., & Davis, K. S. (2016) · ACM Conference on Computer Supported Cooperative Work (CSCW) · doi:10.1145/2818048.2819972 · Cited by 37 · see citing works
Fusing Audio-Visual Nonverbal Cues to Detect Dominant People in Group Conversations
Aran, O., & Gática-Pérez, D. (2010) · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition · doi:10.1109/icpr.2010.898 · Cited by 33 · see citing works
Hao, J., Chen, L., Flor, M., Liu, L., & von Davier, A. A. (2017) · ETS Research Report Series · doi:10.1002/ets2.12184 · Cited by 31 · see citing works
A more reflective form of joint problem solving
Alterman, R., & Harsch, K. (2017) · International Journal of Computer-Supported Collaborative Learning · doi:10.1007/s11412-017-9250-1 · Cited by 30 · see citing works
Acoustic and prosodic correlates of social behavior
Gravano, A., Levitan, R., Willson, L., Stefan Benus, A., Hirschberg, J., & Nenkova, A. (2011) · Interspeech (USB) · doi:10.21437/interspeech.2011-25 · Cited by 27 · see citing works
Analyzing Gaze Behavior and Dialogue Act during Turn-taking for Estimating Empathy Skill Level
Ishii, R., Otsuka, K., Kumano, S., Higashinaka, R., & Tomita, J. (2018) · INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION · doi:10.1145/3242969.3242978 · Cited by 25 · see citing works
Multimodal, Multiparty Modeling of Collaborative Problem Solving Performance
Subburaj, S. K., Stewart, A., Rao, A., & D’Mello, S. K. (2020) · INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION · doi:10.1145/3382507.3418877 · Cited by 25 · see citing works
Self-citationOviatt, S. L., & Cohen, A. O. (2013) · INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION · doi:10.1145/2522848.2533793 · Cited by 24 · see citing works
Estimating Visual Focus of Attention in Multiparty Meetings using Deep Convolutional Neural Networks
Otsuka, K., Kasuga, K., & Martina, K. (2018) · INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION · doi:10.1145/3242969.3242973 · Cited by 24 · see citing works
Stewart, A., Keirn, Z. A., & D’Mello, S. K. (2018) · INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION · doi:10.1145/3242969.3242989 · Cited by 24 · see citing works
Self-citationGenerative Multimodal Models of Nonverbal Synchrony in Close Relationships
Grafsgaard, J. F., Duran, N. D., Randall, A. K., Tao, C., & D’Mello, S. K. (2018) · International Conference on Automatic Face and Gesture Recognition · doi:10.1109/fg.2018.00037 · Cited by 21 · see citing works
Self-citationGutwin, C. A., Bateman, S., Arora, G., & Coveney, A. (2017) · ACM Conference on Computer Supported Cooperative Work (CSCW) · doi:10.1145/2998181.2998226 · Cited by 19 · see citing works
Floor holder detection and end of speaker turn prediction in meetings
Dielmann, A., Garau, G., & Bourlard, H. A. (2010) · Interspeech (USB) · doi:10.21437/interspeech.2010-632 · Cited by 18 · see citing works
Minding the Gap Between Blocks-Based and Text-Based Programming (Abstract Only)
Weintrop, D. (2015) · ACM Technical Symposium on Computer Science Education (SIGCSE) · doi:10.1145/2676723.2693622 · Cited by 18 · see citing works
Identification of emergent leaders in a meeting scenario using multiple kernel learning
Beyan, C., Capozzi, F., Becchio, C., & Murino, V. (2016) · doi:10.1145/3005467.3005469 · Cited by 18 · see citing works
Connecting the Dots Towards Collaborative AIED: Linking Group Makeup to Process to Learning
Stewart, A., & D’Mello, S. K. (2018) · Lecture notes in computer science · doi:10.1007/978-3-319-93843-1_40 · Cited by 18 · see citing works
Self-citationChopade, P., Edwards, D., Khan, S. M., Andrade, A., & Pu, S. (2019) · IEEE Conference on Technologies for Homeland Security (HST) · doi:10.1109/hst47167.2019.9032906 · Cited by 18 · see citing works
Gamified Assessment of Collaborative Skills with Chatbots
Stoeffler, K., Rosen, Y., Bolsinova, M. A., & von Davier, A. A. (2018) · Lecture notes in computer science · doi:10.1007/978-3-319-93846-2_64 · Cited by 13 · see citing works
Human-Agent Assessment: Interaction and Sub-skills Scoring for Collaborative Problem Solving
Chopade, P., Stoeffler, K., Khan, S. M., Rosen, Y., Swartz, S., & von Davier, A. A. (2018) · Lecture notes in computer science · doi:10.1007/978-3-319-93846-2_10 · Cited by 10 · see citing works
Breakout: An Open Measurement and Intervention Tool for Distributed Peer Learning GroupsPreprint
Calacci, D., Lederman, O., Shrier, D. A., & Pentland, A. (2016) · arXiv (Cornell University) · doi:10.48550/arxiv.1607.01443 · Cited by 9 · see citing works
Gaze as a Proxy for Cognition and Communication
Jermann, P., & Sharma, K. (2018) · IEEE International Conference on Advanced Learning Technologies (ICALT) · doi:10.1109/icalt.2018.00043 · Cited by 7 · see citing works
Modeling Human Ad Hoc Coordination
Krafft, P. M., Baker, C. L., Pentland, A., & Tenenbaum, J. B. (2016) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v30i1.9891 · Cited by 6 · see citing works
Supporting Dyadic Chat Communication with Eye Tracking Based Reading Awareness
Schlosser, C., Harrer, A., & Kienle, A. (2018) · IEEE International Conference on Advanced Learning Technologies (ICALT) · doi:10.1109/icalt.2018.00042 · Cited by 4 · see citing works
Flagged first, then by citations
1 of the 105 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
How multiple levels of metacognitive awareness operate in collaborative problem solving
Çini, A., Järvelä, S., Dindar, M., & Malmberg, J. (2023) · Metacognition and Learning · doi:10.1007/s11409-023-09358-7 · Cited by 110 · see citing works
McIntosh, T. R., Susnjak, T., Liu, T., Watters, P., Xu, D., Liu, D., & Halgamuge, M. N. (2025) · Technologies · doi:10.3390/technologies13020051 · Cited by 102 · see citing works
“There is also a pressing need for calibrated multimodal encoders for compositional scene understanding and data integration [120].”
BackgroundDo Speech-Based Collaboration Analytics Generalize Across Task Contexts?
Pugh, S. L., Rao, A., Stewart, A., & D’Mello, S. K. (2022) · International Conference on Learning Analytics and Knowledge (LAK) · doi:10.1145/3506860.3506894 · Cited by 34 · see citing works
Self-citationChai, H., Hu, T., & Wu, L. (2023) · Educational Research Review · doi:10.1016/j.edurev.2023.100591 · Cited by 28 · see citing works
Eloy, L., Doherty, E. J., Spencer, C. A., Bobko, P., & Hirshfield, L. (2022) · Frontiers in Neuroergonomics · doi:10.3389/fnrgo.2022.838625 · Cited by 26 · see citing works
Assessing verbal interaction of adult learners in computer‐supported collaborative problem solving
Buseyne, S., Rajagopal, K., Danquigny, T., Depaepe, F., Heutte, J., & Raes, A. (2023) · British Journal of Educational Technology · doi:10.1111/bjet.13391 · Cited by 17 · see citing works
Hayashi, Y. (2023) · International Journal of Artificial Intelligence in Education · doi:10.1007/s40593-023-00381-y · Cited by 16 · see citing works
D’Mello, S. K., Duran, N., Michaels, A., & Stewart, A. E. B. (2024) · User Modeling and User-Adapted Interaction · doi:10.1007/s11257-023-09387-6 · Cited by 14 · see citing works
Self-citationAutomatic Detection of Collaborative States in Small Groups Using Multimodal Features
Bradford, M., Khebour, I., Blanchard, N., & Krishnaswamy, N. (2023) · Lecture notes in computer science · doi:10.1007/978-3-031-36272-9_69 · Cited by 12 · see citing works
CPSCoach: The Design and Implementation of Intelligent Collaborative Problem Solving Feedback
Stewart, A. E. B., Rao, A., Michaels, A., Sun, C., Duran, N. D., Shute, V. J., & D’Mello, S. K. (2023) · Lecture Notes in Computer Science · doi:10.1007/978-3-031-36272-9_58 · Cited by 11 · see citing works
Self-citationChandler, C., Breideband, T., Reitman, J. G., Chitwood, M., Bush, J. B., Howard, A., Leonhart, S., Foltz, P. W., Penuel, W. R., & D'Mello, S. K. (2024) · Proceedings of the 14th Learning Analytics and Knowledge Conference · doi:10.1145/3636555.3636917 · Cited by 8 · see citing works
Self-citationWong, K., Wu, B., Bulathwela, S., & Cukurova, M. (2025) · Lecture notes in computer science · doi:10.1007/978-3-031-98417-4_2 · Cited by 8 · see citing works
Eye to Eye: Gaze Patterns Predict Remote Collaborative Problem Solving Behaviors in Triads
Abitino, A., Pugh, S. L., Peacock, C. E., & D’Mello, S. K. (2022) · Lecture notes in computer science · doi:10.1007/978-3-031-11644-5_31 · Cited by 8 · see citing works
Self-citationYang, S., Du, X., Tang, H., Hung, J.-L., & Tang, Y. (2023) · Education and Information Technologies · doi:10.1007/s10639-023-12373-5 · Cited by 6 · see citing works
Buseyne, S., Vrijdags, A., Said‐Metwaly, S., Danquigny, T., Heutte, J., Depaepe, F., & Raes, A. (2024) · Frontiers in Psychology · doi:10.3389/fpsyg.2024.1345892 · Cited by 6 · see citing works
Advancing Multimodal Collaboration Analytics
Esterhazy, R., Kaliisa, R., Sánchez, D., Langford, M., & Damşa, C. I. (2025) · Journal of Learning Analytics · doi:10.18608/jla.2025.8625 · Cited by 6 · see citing works
Multimodal Design for Interactive Collaborative Problem-Solving Support
VanderHoeven, H., Bradford, M., Jung, C., Khebour, I., Lai, K., Pustejovsky, J. D., Krishnaswamy, N., & Blanchard, N. (2024) · Lecture notes in computer science · doi:10.1007/978-3-031-60107-1_6 · Cited by 6 · see citing works
Sun, C., Shute, V. J., Stewart, A., & D’Mello, S. K. (2025) · International Conference on Learning Analytics and Knowledge (LAK) · doi:10.1145/3706468.3706560 · Cited by 5 · see citing works
Self-citationLannuzel, T., Biancardi, B., Barange, M., & Stéphanie Buisine, A. (2025) · ACM Collective Intelligence Conference (CI) · doi:10.1145/3715928.3737468 · Cited by 2 · see citing works
Testing individual and group markers of collaboration in a team-based learning classroom
Chua, Y. H. V., Dauwels, J., Rajalingam, P., Teo, C. L., & Styles, S. J. (2025) · Learning and Instruction · doi:10.1016/j.learninstruc.2025.102215 · Cited by 2 · see citing works
Context-aware prompting for collaborative problem solving skill identification
Zhu, M., Feng, L., WANG, X., & Huang, W. (2026) · Computers and Education Artificial Intelligence · doi:10.1016/j.caeai.2026.100567 · Cited by 2 · see citing works
Are you collaborative? A framework to evaluate non-verbal communication in indoor environments
Miranda, D., Noël, R., Alvarado, I., Cechinel, C., & Muñoz, R. (2022) · Latin American Conference on Learning Technologies (LACLO) · doi:10.1109/laclo56648.2022.10013447 · Cited by 1 · see citing works
Tracking Individual Beliefs in Co-situated Groups Using Multimodal Input
Bradford, M., Khebour, I., VanderHoeven, H., Venkatesha, V., Blanchard, N., & Krishnaswamy, N. (2025) · Lecture notes in computer science · doi:10.1007/978-3-031-93412-4_8 · Cited by 1 · see citing works
Leveraging ChatGPT in K-12 School Discipline: Potential Applications and Ethical Considerations
Kush, J. C. (2025) · AI · doi:10.3390/ai6070139 · Cited by 1 · see citing works
Enhancing Adaptive Human-Agent Teaming Systems with Functional Near-Infrared Spectroscopy
Eloy, L., Doherty, E. J., Spencer, C. A., & Hirshfield, L. (2025) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2025.2524490 · Cited by 1 · see citing works
Multimodal Machine Learning Can Predict Videoconference Fluidity and Enjoyment
Chang, A., Akkaraju, V., Cogliano, R. M., Poeppel, D., & Freeman, D. (2025) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp49660.2025.10889480
Digital Collaborative Learning in General, Higher, and Business Education
(2025) · Frontiers research topics · doi:10.3389/978-2-8325-6001-3
Lee, S., & Han, J. (2026) · Sustainability · doi:10.3390/su18105142
Lannuzel, T., Biancardi, B., Barange, M., & Stéphanie Buisine, A. (2026) · Journal on Multimodal User Interfaces · doi:10.1007/s12193-026-00485-4
Zhecheva, E., Groen, E. L., Haselager, P., & Brouwer, A.-M. (2026) · Frontiers in Neuroergonomics · doi:10.3389/fnrgo.2026.1864518
- Authors
- Stewart, A. E. B., Keirn, Z., & D’Mello, S. K.
- Affiliations
- University of Colorado Boulder (US)
- Corresponding author
- Stewart, Angela E. B.
- Venue
- User Modeling and User-Adapted Interaction
- Published
- 2021-02-02
- Volume
- 31
- Issue
- 4
- Pages
- 713-751
- ISSN
- 0924-1868 (ISSN-L)
- 1573-1391
- OpenAlex
- W3126233671
- Cited by
- 30
- References
- 105
- Citations by year
- 2026: 4 · 2025: 10 · 2024: 5 · 2023: 7 · 2022: 4
- FWCI
- 3.93
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- User Modeling and User-Adapted Interaction (publishedVersion)
- Funders
- National Science Foundation (NSF DUE 1745442)
- Institute of Education Sciences (IES R305A170432)
- Topics
- Social Sciences › Psychology › Social Psychology › Team Dynamics and Performance
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Emotion and Mood Recognition
- Physical Sciences › Computer Science › Artificial Intelligence › Intelligent Tutoring Systems and Adaptive Learning
- Keywords
- collaborative problem solving, shared knowledge construction, remote collaboration, videoconferencing, visual programming, multimodal modeling, nonverbal cues, facial expressions, prosodic features, speech transcripts, real-time intervention, after action review
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review