Current Landscape and Future Directions for Mental Health Conversational Agents for Youth: Scoping Review

Our study highlights the need for researchers to continue to work together to align evidence-based research on mental health CAs for youth with lessons learned on how to best deliver these technologies to youth. Our review brings to light mental health CAs needing further development and evaluation. The new trend of large language model-based CAs can make such technologies more feasible. However, the privacy and safety of the systems should be prioritized. Although preliminary evidence shows positive trends in mental health CAs, long-term evaluative research with larger sample sizes and robust research designs is needed to validate their efficacy. More importantly, collaboration between youth and clinical experts is essential from the early design stages through to the final evaluation to develop safe, effective, and youth-centered mental health chatbots. Finally, best practices for risk mitigation and ethical development of CAs with and for youth are needed to promote their mental well-being.

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Institutions

Publication Details

Journal
JMIR Medical Informatics
Published
2024-12-25
DOI
https://doi.org/10.2196/62758
Citations
6
Primary Topic
Digital Mental Health Interventions
Type
article
Field-Weighted Citation Impact
2.46
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article

Current Landscape and Future Directions for Mental Health Conversational Agents for Youth: Scoping Review

Vivek K. Singh, Pamela Wiśniewski, Jinkyung Park
6 citations
JMIR Medical Informatics
Digital Mental Health Interventions
2.46
article

Current Landscape and Future Directions for Mental Health Conversational Agents for Youth: Scoping Review

Vivek K. Singh, Pamela Wiśniewski, Jinkyung Park
article en
6 citations

Abstract

Our study highlights the need for researchers to continue to work together to align evidence-based research on mental health CAs for youth with lessons learned on how to best deliver these technologies to youth. Our review brings to light mental health CAs needing further development and evaluation. The new trend of large language model-based CAs can make such technologies more feasible. However, the privacy and safety of the systems should be prioritized. Although preliminary evidence shows positive trends in mental health CAs, long-term evaluative research with larger sample sizes and robust research designs is needed to validate their efficacy. More importantly, collaboration between youth and clinical experts is essential from the early design stages through to the final evaluation to develop safe, effective, and youth-centered mental health chatbots. Finally, best practices for risk mitigation and ethical development of CAs with and for youth are needed to promote their mental well-being.

JMIR Medical InformaticsVol. 13
Rutgers, The State University of New Jersey (US), Vanderbilt University (US), Clemson University (US)
Gender equality
Openalex Percentile: Top 10%
Digital Mental Health Interventions
2.46
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