Effect of an AI agent trained on a large language model (LLM) as an intervention for depression and anxiety symptoms in young adults: A 28-day randomized controlled trial
Applied psychology. Health and well-being, 2025
L2of 5
- Design
- Randomised controlled trial / experiment
- Risk of bias
- Some concerns
- Sample
- n = 865
- AI type
- Purpose-built support tools
- Outcomes
- Mood
Authors' conclusion
“This study found evidence that the LLM-based conversational agent could effectively alleviate the mild anxiety and depressive symptoms of young adults with negative emotions through dialog interventions when the AI companion bot is used sufficiently enough.”Quoted verbatim from the abstract.
Draft grade. Level and risk of bias were assigned by our agent and await expert review. How we grade
Read the paper →DOI 10.1111/aphw.70067Related
- L1The Effectiveness of AI Chatbots in Alleviating Mental Distress and Promoting Health Behaviors Among Adolescents and Young Adults: Systematic Review and Meta-Analysis2025
- L2Effect of a Cognitive Behavioral Therapy-Based AI Chatbot on Depression and Loneliness in Chinese University Students: Randomized Controlled Trial With Financial Stress Moderation2025
- L3Therapeutic Potential of Social Chatbots in Alleviating Loneliness and Social Anxiety: Quasi-Experimental Mixed Methods Study2025
- L3Tech vs. Tradition: ChatGPT and Mindfulness in Enhancing Older Adults' Emotional Health2024