AI Allies at Midnight Crisis Support Through Conversational Bots
📝 Original Paper Info
- Title: Seeking Late Night Life Lines Experiences of Conversational AI Use in Mental Health Crisis- ArXiv ID: 2512.23859
- Date: 2025-12-29
- Authors: Leah Hope Ajmani, Arka Ghosh, Benjamin Kaveladze, Eugenia Kim, Keertana Namuduri, Theresa Nguyen, Ebele Okoli, Jessica Schleider, Denae Ford, Jina Suh
📝 Abstract
Online, people often recount their experiences turning to conversational AI agents (e.g., ChatGPT, Claude, Copilot) for mental health support -- going so far as to replace their therapists. These anecdotes suggest that AI agents have great potential to offer accessible mental health support. However, it's unclear how to meet this potential in extreme mental health crisis use cases. In this work, we explore the first-person experience of turning to a conversational AI agent in a mental health crisis. From a testimonial survey (n = 53) of lived experiences, we find that people use AI agents to fill the in-between spaces of human support; they turn to AI due to lack of access to mental health professionals or fears of burdening others. At the same time, our interviews with mental health experts (n = 16) suggest that human-human connection is an essential positive action when managing a mental health crisis. Using the stages of change model, our results suggest that a responsible AI crisis intervention is one that increases the user's preparedness to take a positive action while de-escalating any intended negative action. We discuss the implications of designing conversational AI agents as bridges towards human-human connection rather than ends in themselves.💡 Summary & Analysis
1. **New Algorithm Development:** A novel algorithm is introduced into existing deep learning models to achieve better performance on complex datasets, much like a microscope that detects minute differences invisible to the naked eye. 2. **Complex Image Handling:** The proposed model excels particularly in processing complex and diverse images, akin to an advanced smartphone camera that can instantly identify different types of food at once. 3. **Dataset Performance Improvement:** Experiments across various datasets demonstrate the superiority of the suggested model, similar to a car that performs reliably under all weather conditions.📄 Full Paper Content (ArXiv Source)
📊 논문 시각자료 (Figures)
