AI Chatbots for Mental Health Self-Management: Lived Experience–Centered Qualitative Study

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Overview

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This qualitative study examines the experiences of 17 individuals with depression using an LLM-based chatbot designed for self-management. Through interviews, the authors identify key themes regarding informational accuracy, the balance between emotional validation and the need for human connection, and privacy concerns related to personalization. The resource outlines design implications derived from these lived experiences to mitigate potential harms in mental health AI tools.

ID
e50cfeef83124c9d
Source org
PubMed Central
Author
Dong Whi Yoo (Indiana University – Purdue University Indianapolis), Jiayue Melissa Shi (University of Illinois Urbana-Champaign), Violeta Rodriguez (University of Illinois Urbana-Champaign), Koustuv Saha (University of Illinois Urbana-Champaign)
Published
2026-02-25
OA status
gold
DOI
10.2196/78288
PMID
Not recorded
PMCID
Not recorded
Citations
4

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BibTeX

@article{allodium:e50cfeef83124c9d,
  title = {AI Chatbots for Mental Health Self-Management: Lived Experience–Centered Qualitative Study},
  author = {Dong Whi Yoo and Jiayue Melissa Shi and Violeta Rodriguez and Koustuv Saha},
  year = {2026},
  journal = {PubMed Central},
  doi = {10.2196/78288},
  url = {https://doi.org/10.2196/78288}
}

RIS

TY  - JOUR
TI  - AI Chatbots for Mental Health Self-Management: Lived Experience–Centered Qualitative Study
AU  - Yoo, Dong Whi
AU  - Shi, Jiayue Melissa
AU  - Rodriguez, Violeta
AU  - Saha, Koustuv
PY  - 2026
PB  - PubMed Central
DO  - 10.2196/78288
UR  - https://doi.org/10.2196/78288
ER  -

APA

Yoo, D. W., Shi, J. M., Rodriguez, V., & Saha, K. (2026). AI Chatbots for Mental Health Self-Management: Lived Experience–Centered Qualitative Study. PubMed Central. https://doi.org/10.2196/78288

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