Aurora: AI-Based Narrative Intervention to Support Emotional Well-Being in Clinical and Non-Clinical Populations

Aurora is an interdisciplinary project evaluating a chatbot-mediated supportive care intervention designed to promote emotional expression, autobiographical meaning-making, identity processes, and emotional well-being through guided narrative reconstruction. The Aurora system provides a structured, person-centered storytelling process supported by generative AI and human facilitation. Under the supervision of a trained facilitator (licensed mental health professional), participants engage in guided reminiscence and storytelling sessions to co-create a personalized "life book." The chatbot is not a diagnostic or treatment tool; rather, it is intended to support emotional expression, narrative reconstruction, and recovery-oriented processes. The study includes three non-randomized arms implemented sequentially: (1) a single-session arm of healthy adults focused on acceptability, usability, and emotional safety; (2) a four-hour intervention arm of adults with DSM-5 diagnosed mental disorders in residential care; and (3) a four-hour intervention arm of healthy older adults aged 65 years and older. Quantitative outcomes assess affect, mental well-being, and recovery-related constructs. Additional measures include usability, satisfaction, and qualitative feedback. Ecological momentary assessment (EMA) is conducted in Arms 2 and 3.