Emma Brunskill

schoolStanford Universitybar_chart#2211 Global Rank

Total Papers

HCI Rank

#2211

Research Areas

Years Active

Recent Publications

Bloom: Designing for LLM-Augmented Behavior Change Interactions

Large language models (LLMs) offer novel opportunities to support health behavior change, yet existing work has narrowly focused on text-only interactions. Building on decades of HCI research on effective behavior change interactions, we present Bloom, an application for physical activity promotion that integrates an…

CHI '265th+ AuthorHonorable MentionHuman-LLM Collaboration +2

Can LLM-Simulated Practice and Feedback Upskill Human Counselors? A Randomized Study with 90+ Novice Counselors

The growing demand for accessible mental health support requires training more counselors, yet existing approaches remain resource-intensive and difficult to scale. LLMs can realistically simulate patients and generate actionable feedback for training, but their actual impact on novice counselor skill development rema…

CHI '255th+ AuthorHuman-LLM Collaboration +1

GPTCoach: Towards LLM-Based Physical Activity Coaching

Mobile health applications show promise for scalable physical activity promotion but are often insufficiently personalized. In contrast, health coaching offers highly personalized support but can be prohibitively expensive and inaccessible. This study draws inspiration from health coaching to explore how large languag…

IUI '214th AuthorConversational Chatbots +2

EnglishBot: An AI-Powered Conversational Interface for Second Language Learning

Today, many students learn to speak a foreign language by listening to and repeating pre-recorded materials. This is due to the lack of practice opportunities with human partners. Leveraging recent advancements in AI, Speech, and NLP, we developed EnglishBot, a language learning chatbot that converses with students in…

CHI '195th+ AuthorConversational Chatbots +1

QuizBot: A Dialogue-based Adaptive Learning System for Factual Knowledge

Advances in conversational AI have the potential to enable more engaging and effective ways to teach factual knowledge. To investigate this hypothesis, we created QuizBot, a dialogue-based agent that helps students learn factual knowledge in science, safety, and English vocabulary. We evaluated QuizBot with 76 student…

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