Reimagining Therapy
Consumer Perceptions of Generative AI in Mental Health
Bibliographic Data
| ID | 22411017 |
|---|---|
| Authors | Kaiwen Xue (0000-0002-5434-1340, Faculty of Business and Law, School of Advertising, Marketing and Public Relations Queensland University of Technology Brisbane Queensland Australia, corresponding author), Sven Tuzovic (0000-0002-4043-9275, Faculty of Business and Law, School of Advertising, Marketing and Public Relations Queensland University of Technology Brisbane Queensland Australia), Udo Gottlieb (0000-0002-1439-4341, Faculty of Business and Law, School of Advertising, Marketing and Public Relations Queensland University of Technology Brisbane Queensland Australia) |
| Year | 2026 |
| Volume | 60 |
| Issue | 3 |
| Publication date | 2026-09-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of Consumer Affairs (JOURNAL) |
| Journal identifiers | ISSN: 0022-0078 • E-ISSN: 1745-6606 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1111/joca.70066 |
| OpenAlex | W7168052546 |
| Language | EN |
| References cited | 50 |
Growing numbers of consumers are turning to Generative AI (GenAI) for mental health support, yet the psychological engagement processes underlying consumer–GenAI therapy interactions remain insufficiently understood. This gap limits our ability to explain why consumer experiences diverge, particularly in emotionally sensitive contexts requiring high levels of engagement. To address that, we examine why these experiences vary and what mechanisms contribute to these conflicting outcomes. Drawing on 30 semi‐structured interviews, we develop an integrative framework outlining an engagement process between consumers and GenAI therapy. Grounded in cognitive appraisal theory, the framework shows that GenAI operates simultaneously as a functional service and a relational agent, meaning that consumer decisions are shaped by both utilitarian and relational evaluations. By explaining how consumers appraise, reappraise, and cope with GenAI therapy, the framework clarifies the mechanisms underlying divergent outcomes and offers insights for identifying potential risks in GenAI mental health services.
Cognition · Cognitive appraisal · Generative grammar · Meaning (existential) · Mental health · Perception · Process (computing) · AI in Service Interactions · Artificial Intelligence in Healthcare and Education · Digital Mental Health Interventions
Emotion And Adaptation
An Empathy-Driven, Conversational Artificial Intelligence Agent (Wysa) for Digital Mental Well-Being
The generalizability of the psychoanalytic concept of the working alliance.
User Acceptance of Information Technology
Humans Mindlessly Treat AI Virtual Agents as Social Beings, but This Tendency Diminishes Among the Young
Social presence
Ensuring patient and public involvement in the transition to AI‐assisted mental health care
Systematic Review of Cultural Aspects of Stigma and Mental Illness among Racial and Ethnic Minority Groups in the United States
AI aversion or appreciation? A capability–personalization framework and a meta-analytic review
Abductive Coding
AI Companions Reduce Loneliness
The GenAI Future of Consumer Research
| Highly cited | No |
|---|