Use of automated conversational agents in improving young population mental health: a scoping review
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View abstract on PubMed
Summary
This summary is machine-generated.Automated conversational agents (CAs) show promise for youth mental health, being engaging and usable. However, their clinical efficacy for emotional well-being remains inconclusive, requiring further research and development.
Area Of Science
- Digital mental health
- Human-computer interaction
- Adolescent psychology
Background
- Automated conversational agents (CAs) are increasingly explored for mental health interventions in young people.
- Existing research highlights their potential for addressing emotional health challenges in this demographic.
Purpose Of The Study
- To conduct a scoping review of research on fully automated CAs for youth emotional mental health.
- To examine the development, feasibility, usability, and evaluation of these interventions.
Main Methods
- A systematic search of selected databases was conducted in March 2023.
- Included studies were primary research focusing on fully automated CAs for the emotional mental health of young people.
- Twenty-five studies involving 1707 participants were included in the review.
Main Results
- Most automated CAs were AI-based chatbots targeting anxiety and depression, primarily using text.
- Interventions were found to be acceptable, engaging, and highly usable among young users.
- Clinical efficacy results were mixed, with nearly half of studies reporting no significant impact on emotional mental health outcomes.
Conclusions
- Automated CAs are a feasible and engaging tool for youth mental health support.
- There is a critical need to enhance the clinical efficacy of these digital interventions.
- More methodologically rigorous research is required to validate their effectiveness in improving emotional well-being.
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