| Guiding Students in Using LLMs in Supported Learning Environments: Effects on Interaction Dynamics, Learner Performance, Confidence, and Trust H Kumar, I Musabirov, M Reza, J Shi, X Wang, JJ Williams, A Kuzminykh, ... Proceedings of the ACM on Human-Computer Interaction 8 (CSCW2), 1-30, 2024 | 40* | 2024 |
| Exploring the use of large language models for improving the awareness of mindfulness H Kumar, Y Wang, J Shi, I Musabirov, NAS Farb, JJ Williams Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing …, 2023 | 39 | 2023 |
| Exploring the design of prompts for applying gpt-3 based chatbots: A mental wellbeing case study on mechanical turk H Kumar, I Musabirov, J Shi, A Lauzon, KK Choy, O Gross, ... arXiv preprint arXiv:2209.11344, 2022 | 39 | 2022 |
| Math education with large language models: peril or promise? H Kumar, DM Rothschild, DG Goldstein, JM Hofman Available at SSRN 4641653, 2023 | 38 | 2023 |
| Investigating the role of context in the delivery of text messages for supporting psychological wellbeing A Bhattacharjee, JJ Williams, J Meyerhoff, H Kumar, A Mariakakis, ... 🏆 Proceedings of the 2023 CHI Conference on Human Factors in Computing …, 2023 | 24 | 2023 |
| Supporting Self-Reflection at Scale with Large Language Models: Insights from Randomized Field Experiments in Classrooms H Kumar, R Xiao, B Lawson, I Musabirov, J Shi, X Wang, H Luo, ... Proceedings of the Eleventh ACM Conference on Learning@ Scale, 86-97, 2024 | 12 | 2024 |
| Exploring The Potential of Chatbots to Provide Mental Well-being Support for Computer Science Students H Kumar, K Yu, A Chung, J Shi, JJ Williams Proceedings of the 54th ACM Technical Symposium on Computer Science …, 2023 | 12 | 2023 |
| QuickTA: Exploring the Design Space of Using Large Language Models to Provide Support to Students H Kumar, I Musabirov, JJ Williams, M Liut Workshop at Learning Analytics and Knowledge Conference 2023 (LAK’23), 2023 | 11 | 2023 |
| A text messaging intervention to support the mental health of young adults: user engagement and feedback from a field trial of an intervention prototype R Kornfield, CA Stamatis, A Bhattacharjee, B Pang, T Nguyen, JJ Williams, ... Internet Interventions 34, 100667, 2023 | 8 | 2023 |
| Algorithms for adaptive experiments that trade-off statistical analysis with reward: Combining uniform random assignment and reward maximization T Li, J Nogas, H Song, H Kumar, A Durand, A Rafferty, N Deliu, SS Villar, ... arXiv preprint arXiv:2112.08507, 2021 | 8 | 2021 |
| Electroencephalogram with Machine Learning for Estimation of Mental Confusion Level H Kumar, M Sethia, H Thakur, I Agrawal International Journal of Engineering and Advanced Technology 9 (2), 761-765, 2019 | 8 | 2019 |
| Small Steps over time: A longitudinal usability test of an automated interactive text messaging intervention to support self-management of depression and anxiety symptoms J Meyerhoff, M Beltzer, S Popowski, CJ Karr, T Nguyen, JJ Williams, ... Journal of Affective Disorders 345, 122-130, 2024 | 7 | 2024 |
| Using adaptive bandit experiments to increase and investigate engagement in mental health H Kumar, T Li, J Shi, I Musabirov, R Kornfield, J Meyerhoff, ... Proceedings of the AAAI Conference on Artificial Intelligence 38 (21), 22906 …, 2024 | 6 | 2024 |
| Understanding Help-Seeking Behavior of Students Using LLMs vs. Web Search for Writing SQL Queries H Kumar, M Reza, J Mitchell, I Musabirov, L Zhang, M Liut arXiv preprint arXiv:2408.08401, 2024 | 4 | 2024 |
| Integrating individual and social contexts into self-reflection technologies A Bhattacharjee, D Kulzhabayeva, M Reza, H Kumar, E Seong, X Wu, ... Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing …, 2023 | 4 | 2023 |
| Human Creativity in the Age of LLMs: Randomized Experiments on Divergent and Convergent Thinking H Kumar, J Vincentius, E Jordan, A Anderson arXiv preprint arXiv:2410.03703, 2024 | 3 | 2024 |
| Large language model agents for improving engagement with behavior change interventions: Application to digital mindfulness H Kumar, S Yoo, AZ Bernuy, J Shi, H Luo, J Williams, A Kuzminykh, ... arXiv preprint arXiv:2407.13067, 2024 | 2 | 2024 |
| “Sounds like a Cheesy Radio Ad”: Using User Perspectives for Enhancing Digital COVID Vaccine Communication Strategies for Public Health Agencies H Kumar*, TS Agrawaal*, KK Choy, J Shi, JJ Williams CHI Conference on Human Factors in Computing Systems Extended Abstracts, 1-7, 2022 | 2 | 2022 |
| Disclosures & Disclaimers: Investigating the Impact of Transparency Disclosures and Reliability Disclaimers on Learner-LLM Interactions JY Bo*, H Kumar*, M Liut, A Anderson Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 12 …, 2024 | 1 | 2024 |
| Platform-based Adaptive Experimental Research in Education: Lessons Learned from The Digital Learning Challenge I Musabirov, M Reza, H Song, S Moore, P Chen, H Kumar, T Li, J Stamper, ... Proceedings of the 15th International Learning Analytics and Knowledge …, 2025 | | 2025 |
Joseph Jay WilliamsUniversity of Toronto (CS:HCI + applied AI/ML, Stats, Psych, Education, Econ)Verified email at cs.toronto.edu
