Journal-based AI-generated music was rated as reasonably reflective of the writing, and users reported gains in reminiscence, emotional regulation, and self-understanding in a seven-day field study.
MindfulDiary: Harnessing Large Language Model to Support Psychiatric Patients' Journaling
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abstract
In the mental health domain, Large Language Models (LLMs) offer promising new opportunities, though their inherent complexity and low controllability have raised questions about their suitability in clinical settings. We present MindfulDiary, a mobile journaling app incorporating an LLM to help psychiatric patients document daily experiences through conversation. Designed in collaboration with mental health professionals (MHPs), MindfulDiary takes a state-based approach to safely comply with the experts' guidelines while carrying on free-form conversations. Through a four-week field study involving 28 patients with major depressive disorder and five psychiatrists, we found that MindfulDiary supported patients in consistently enriching their daily records and helped psychiatrists better empathize with their patients through an understanding of their thoughts and daily contexts. Drawing on these findings, we discuss the implications of leveraging LLMs in the mental health domain, bridging the technical feasibility and their integration into clinical settings.
fields
cs.HC 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
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NoRe: Augmenting Journaling Experience with Generative AI for Music Creation
Journal-based AI-generated music was rated as reasonably reflective of the writing, and users reported gains in reminiscence, emotional regulation, and self-understanding in a seven-day field study.