Recent advances in Large Language Models (LLMs) technologies opens up exciting opportunities in the field of health and well-being. For example, conversational agents equipped with LLMs can capture various human behavioral information through open-ended and versatile dialogues. I am interested in building LLM-infused computing systems that support physical/mental health and well-being, and how we should leverage and audit LLMs to make them safely behave to the target users. Specific topics include:

• Leveraging LLMs for Marginalized Populations [AACessTalk-Arxiv24] [ELMI-Arxiv24] [MindfulDiary-CHI24] [ChaCha-CHI24] [CareCallLTM-CHI24] [CareCall-CHI23]
• LLM-infused Systems for Mental Health & Well-being [ExploreSelf-Arxiv24] [MindfulDiary-CHI24] [ChaCha-CHI24] [CareCallLTM-CHI24] [CareCall-CHI23]
• LLM-infused Systems for Physical Health & Well-being [PlanFitting-Arxiv23]
• Designing LLM-driven Conversational AIs in Health Contexts [MindfulDiary-CHI24] [ChaCha-CHI24] [CareCallLTM-CHI24] [PlanFitting-Arxiv23] [LLM-Chatbot-CSCW24] [CareCall-CHI23]

Personal informatics systems require signficant human efforts in both collecting and exploring the data, becuase the self-tracking process involves the user's personal context information, which is not recorded in the data. I explore ways to support such human-data interaction processes in flexible and less-structured manners, to lower the barriers of lay individuals to novel self-tracking tools.