activity
20222024
most citedSupporting Self-Reflection at Scale with Large Language Models: Insights from Randomized Field Experiments in Classrooms

50 citations · 123 across the 5 of their papers we have counts for

collaborators

5 papers

cs.HC2024★ 3 cited

Large Language Model Agents for Improving Engagement with Behavior Change Interventions: Application to Digital Mindfulness

Harsh Kumar, Suhyeon Yoo, Angela Zavaleta Bernuy +6

Although engagement in self-directed wellness exercises typically declines over time, integrating social support such as coaching can sustain it. However, traditional forms of supp…

cs.CY2024★ 50 cited

Supporting Self-Reflection at Scale with Large Language Models: Insights from Randomized Field Experiments in Classrooms

Harsh Kumar, Ruiwei Xiao, Benjamin Lawson +8

Self-reflection on learning experiences constitutes a fundamental cognitive process, essential for the consolidation of knowledge and the enhancement of learning efficacy. However,…

cs.AI2023★ 10 cited

Using Adaptive Bandit Experiments to Increase and Investigate Engagement in Mental Health

Harsh Kumar, Tong Li, Jiakai Shi +11

Digital mental health (DMH) interventions, such as text-message-based lessons and activities, offer immense potential for accessible mental health support. While these intervention…

cs.HC2023★ 33 cited

Impact of Guidance and Interaction Strategies for LLM Use on Learner Performance and Perception

Harsh Kumar, Ilya Musabirov, Mohi Reza +5

Personalized chatbot-based teaching assistants can be crucial in addressing increasing classroom sizes, especially where direct teacher presence is limited. Large language models (…

cs.HC2022★ 27 cited

Exploring The Design of Prompts For Applying GPT-3 based Chatbots: A Mental Wellbeing Case Study on Mechanical Turk

Harsh Kumar, Ilya Musabirov, Jiakai Shi +5

Large-Language Models like GPT-3 have the potential to enable HCI designers and researchers to create more human-like and helpful chatbots for specific applications. But evaluating…