Cover Image

AI Chatbots or Human Therapists? Belief-Based Predictors of Mental Health Help-Seeking Intentions in the Age of Generative AI

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Park, Junsang, Brown, Sarah, Vogel, David L., Zhao, Nan, Chu, Sharon Lynn
Format:	Preprint
Published:	2025
Subjects:	Human-Computer Interaction
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Designing AI Tutors for Interest-Based Learning: Insights from Human Instructors
by: Kulkarni, Abhishek, et al.
Published: (2026)

Users' Mental Models of Generative AI Chatbot Ecosystems
by: Wang, Xingyi, et al.
Published: (2025)

Like a Therapist, But Not: Reddit Narratives of AI in Mental Health Contexts
by: Aghakhani, Elham, et al.
Published: (2026)

The Effects of Generative AI on Computing Students' Help-Seeking Preferences
by: Hou, Irene, et al.
Published: (2024)

Can LLMs Address Mental Health Questions? A Comparison with Human Therapists
by: Wang, Synthia, et al.
Published: (2025)

On the Utility of Accounting for Human Beliefs about AI Intention in Human-AI Collaboration
by: Yu, Guanghui, et al.
Published: (2024)

On the Utility of External Agent Intention Predictor for Human-AI Coordination
by: Wang, Chenxu, et al.
Published: (2024)

Writing with AI Lowers Psychological Ownership, but Longer Prompts Can Help
by: Joshi, Nikhita, et al.
Published: (2024)

Understanding Remote Mental Health Supporters' Help-Seeking in Online Communities
by: Lee, Tuan-He, et al.
Published: (2026)

AI Chatbots for Mental Health: Values and Harms from Lived Experiences of Depression
by: Yoo, Dong Whi, et al.
Published: (2025)

Talking to an AI Mirror: Designing Self-Clone Chatbots for Enhanced Engagement in Digital Mental Health Support
by: Shirvani, Mehrnoosh Sadat, et al.
Published: (2025)

Understanding and Facilitating Mental Health Help-Seeking of Young Adults: A Socio-technical Ecosystem Framework
by: Liu, Jiaying, et al.
Published: (2024)

"I know it's not right, but that's what it said to do": Investigating Trust in AI Chatbots for Cybersecurity Policy
by: Lit, Brandon, et al.
Published: (2025)

ComViewer: An Interactive Visual Tool to Help Viewers Seek Social Support in Online Mental Health Communities
by: Wu, Shiwei, et al.
Published: (2024)

A Framework for Evaluating Appropriateness, Trustworthiness, and Safety in Mental Wellness AI Chatbots
by: Chen, Lucia, et al.
Published: (2024)

Conversations with AI Chatbots Increase Short-Term Vaccine Intentions But Do Not Outperform Standard Public Health Messaging
by: Sehgal, Neil K. R., et al.
Published: (2025)

Can AI Help You Get Over Your Breakup? One Session with a Belief-Reframing Chatbot Shows Sustained Distress Reduction
by: Menzel, Thomas, et al.
Published: (2026)

Engagement Phenotypes for a Sample of 102,684 AI Mental Health Chatbot Users and Dose-Response Associations with Clinical Outcomes
by: Wolfe, Emma C., et al.
Published: (2026)

The Day My Chatbot Changed: Characterizing the Mental Health Impacts of Social AI App Updates via Negative User Reviews
by: Munira, Sirajam, et al.
Published: (2026)

Cooking Up Politeness in Human-AI Information Seeking Dialogue
by: Elsweiler, David, et al.
Published: (2026)

The AI-Therapist Duo: Exploring the Potential of Human-AI Collaboration in Personalized Art Therapy for PICS Intervention
by: Yilma, Bereket A., et al.
Published: (2025)

Understanding Attitudes and Trust of Generative AI Chatbots for Social Anxiety Support
by: Wang, Yimeng, et al.
Published: (2025)

Understanding and Shaping Human-Technology Assemblages in the Age of Generative AI
by: Andres, Josh, et al.
Published: (2024)

Unpacking Vibe Coding: Help-Seeking Processes in Student-AI Interactions While Programming
by: Rinja, Daiana, et al.
Published: (2026)

The Benefits of Prosociality towards AI Agents: Examining the Effects of Helping AI Agents on Human Well-Being
by: Zhu, Zicheng, et al.
Published: (2025)

Understanding Human-AI Collaboration in Music Therapy Through Co-Design with Therapists
by: Sun, Jingjing, et al.
Published: (2024)

Creating, Using and Assessing a Generative-AI-Based Human-Chatbot-Dialogue Dataset with User-Interaction Learning Capabilities
by: Cuzzocrea, Alfredo, et al.
Published: (2025)

Evaluating an LLM-Powered Chatbot for Cognitive Restructuring: Insights from Mental Health Professionals
by: Wang, Yinzhou, et al.
Published: (2025)

Seeking Late Night Life Lines: Experiences of Conversational AI Use in Mental Health Crisis
by: Ajmani, Leah Hope, et al.
Published: (2025)

Knowledge Affordances for Hybrid Human-AI Information Seeking
by: Celino, Irene
Published: (2026)

Expert Evaluation and the Limits of Human Feedback in Mental Health AI Safety Testing
by: Jafari, Kiana, et al.
Published: (2026)

AI Fortune-Teller: Juxtaposing Shaman and AI to Reveal Human Agency in the Age of AI
by: Kwon, Soonho, et al.
Published: (2026)

Toward a Human-AI Task Tensor: A Taxonomy for Organizing Work in the Age of Generative AI
by: Doshi, Anil R., et al.
Published: (2025)

Challenges in Trustworthy Human Evaluation of Chatbots
by: Zhao, Wenting, et al.
Published: (2024)

Is AI mingling or bullying me? Exploring User Interactions with a Chatbot in China
by: Chen, Nuo, et al.
Published: (2025)

Need Help? Designing Proactive AI Assistants for Programming
by: Chen, Valerie, et al.
Published: (2024)

Research on Wearable Technologies for Learning: A Systematic Review
by: Chu, Sharon Lynn, et al.
Published: (2022)

Code Shaping: Iterative Code Editing with Free-form AI-Interpreted Sketching
by: Yen, Ryan, et al.
Published: (2025)

The Dynamics of Delusion: Modeling Bidirectional False Belief Amplification in Human-Chatbot Dialogue
by: Mehta, Ashish, et al.
Published: (2026)

Belief Offloading in Human-AI Interaction
by: Guingrich, Rose E., et al.
Published: (2026)