1. MindScape Study: Integrating LLM and Behavioral Sensing for Personalized AI-Driven Journaling Experiences
- Author
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Nepal, Subigya, Pillai, Arvind, Campbell, William, Massachi, Talie, Heinz, Michael V., Kunwar, Ashmita, Choi, Eunsol Soul, Xu, Orson, Kuc, Joanna, Huckins, Jeremy, Holden, Jason, Preum, Sarah M., Depp, Colin, Jacobson, Nicholas, Czerwinski, Mary, Granholm, Eric, and Campbell, Andrew T.
- Subjects
Computer Science - Human-Computer Interaction ,Computer Science - Artificial Intelligence ,H.5.0 ,H.5.3 ,H.5.m ,J.0 - Abstract
Mental health concerns are prevalent among college students, highlighting the need for effective interventions that promote self-awareness and holistic well-being. MindScape pioneers a novel approach to AI-powered journaling by integrating passively collected behavioral patterns such as conversational engagement, sleep, and location with Large Language Models (LLMs). This integration creates a highly personalized and context-aware journaling experience, enhancing self-awareness and well-being by embedding behavioral intelligence into AI. We present an 8-week exploratory study with 20 college students, demonstrating the MindScape app's efficacy in enhancing positive affect (7%), reducing negative affect (11%), loneliness (6%), and anxiety and depression, with a significant week-over-week decrease in PHQ-4 scores (-0.25 coefficient), alongside improvements in mindfulness (7%) and self-reflection (6%). The study highlights the advantages of contextual AI journaling, with participants particularly appreciating the tailored prompts and insights provided by the MindScape app. Our analysis also includes a comparison of responses to AI-driven contextual versus generic prompts, participant feedback insights, and proposed strategies for leveraging contextual AI journaling to improve well-being on college campuses. By showcasing the potential of contextual AI journaling to support mental health, we provide a foundation for further investigation into the effects of contextual AI journaling on mental health and well-being., Comment: arXiv admin note: text overlap with arXiv:2404.00487
- Published
- 2024