ExploreSelf: Fostering User-driven Exploration and Reflection on Personal Challenges with Adaptive Guidance by Large Language Models

I Song, SH Park, SR Pendse, JL Schleider… - arXiv preprint arXiv …, 2024 - arxiv.org
Expressing stressful experiences in words is proven to improve mental and physical health,
but individuals often disengage with writing interventions as they struggle to organize their …

ComPeer: A Generative Conversational Agent for Proactive Peer Support

T Liu, H Zhao, Y Liu, X Wang, Z Peng - arXiv preprint arXiv:2407.18064, 2024 - arxiv.org
Conversational Agents (CAs) acting as peer supporters have been widely studied and
demonstrated beneficial for people's mental health. However, previous peer support CAs …

" It Explains What I am Currently Going Through Perfectly to a Tee": Understanding User Perceptions on LLM-Enhanced Narrative Interventions

A Bhattacharjee, SY Xu, P Rao, Y Zeng… - arXiv preprint arXiv …, 2024 - arxiv.org
Stories about overcoming personal struggles can effectively illustrate the application of
psychological theories in real life, yet they may fail to resonate with individuals' experiences …

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… - arXiv preprint arXiv …, 2024 - arxiv.org
Although engagement in self-directed wellness exercises typically declines over time,
integrating social support such as coaching can sustain it. However, traditional forms of …

[PDF][PDF] Incorporating Multi-Stakeholder Perspectives in Evaluating and Auditing of Health Chatbots Driven by Large Language Models

E Jo, YH Kim, Y Jeong, SH Park, DA Epstein - younghokim.net
Recent large language models (LLMs) offer the potential to support public health
interventions by monitoring populations at scale through open-ended conversations. When …