PlanFitting: Tailoring Personalized Exercise Plans with Large Language Models
The HCI group at NAVER AI Lab explores how AI can support and enhance people's health and well-being, with a particular focus on designing AI-infused systems that account for and acknoledge the lifelong challenges of marginalized populations, thereby extending the benefits of contemporary AI to a broader audience.
Featured Research
Present and Past Interns
*The affiliations are based on the internship period and may not reflect the latest information.
Woosuk Seo
University of Michigan, Ann Arbor
Internship: 2023.5 - 8, 2024.5 - 8
Outcome: [ChaCha-CHI24] [ARCH-CHI25]
Sukhyun Lee
Yonsei University
Internship: 2023.1 - 7
Publication from Internship Projects
Best Paper Award
AACessTalk: Fostering Communication between Minimally Verbal Autistic Children and Parents with Contextual Guidance and Card Recommendation
ExploreSelf: Fostering User-driven Exploration and Reflection on Personal Challenges with Adaptive Guidance by Large Language Models
Understanding Public Agencies' Expectations and Realities of AI-Driven Chatbots for Public Health Monitoring
ACM CHI 2025 (Full Paper)
Enhancing Pediatric Communication: The Role of an AI-Driven Chatbot in Facilitating Child-Parent-Provider Interaction
ACM CHI 2025 (Full Paper)
Best Paper Award
Understanding the Benefits and Challenges of Deploying Conversational AI Leveraging Large Language Models for Public Health Intervention
