Systematic review and meta-analysis of AI-based conversational agents for promoting mental health and well-being
National University of Singapore · Carnegie Mellon University · +2 more institutions
Abstract
Conversational artificial intelligence (AI), particularly AI-based conversational agents (CAs), is gaining traction in mental health care. Despite their growing usage, there is a scarcity of comprehensive evaluations of their impact on mental health and well-being. This systematic review and meta-analysis aims to fill this gap by synthesizing evidence on the effectiveness of AI-based CAs in improving mental health and factors influencing their effectiveness and user experience. Twelve databases were searched for experimental studies of AI-based CAs' effects on mental illnesses and psychological well-being published before May 26, 2023. Out of 7834 records, 35 eligible studies were identified for systematic…
Citation impact
- FWCI
- 77.87
- Percentile
- 100%
- References
- 77
Authors
5Topics & keywords
- Mental health
- Psychological intervention
- Systematic review
- Meta-analysis
- Randomized controlled trial
- Psychology
- Distress
- Medicine
- Quality Education