Exploring the Application of AI and Extended Reality Technologies in Metaverse-Driven Mental Health Solutions:...

Area of Science:

• Digital Health
• Mental Health Technology
• Immersive Interventions

Background:

• Global mental health systems face significant strain, with inadequate resources and access to care.
• Emerging technologies like artificial intelligence (AI) and extended reality (XR) offer potential solutions for improving mental health interventions.
• Metaverse environments integrating AI and XR can provide personalized and responsive mental health care.

Purpose of the Study:

• To conduct a scoping review of current AI and XR applications within metaverse frameworks for mental health.
• To identify technological capabilities, therapeutic benefits, and ethical limitations, including governance gaps.
• To focus on critical issues such as data privacy, algorithmic bias, and digital inequality.

Main Methods:

• Systematic literature search across 5 major databases (PubMed, Scopus, IEEE Xplore, PsycINFO, Google Scholar) from January 2014 to October 2024.
• Inclusion criteria focused on peer-reviewed empirical articles in English involving AI or XR in metaverse-like environments for mental health.
• Narrative data synthesis following independent screening by two reviewers, with strong interrater agreement (Cohen κ = 0.85, 0.80).

Main Results:

• 48 studies met inclusion criteria, primarily from high-income countries, exploring AI for emotion detection and XR for therapies like CBT and mindfulness.
• Reported benefits include improved patient engagement, symptom reduction, and treatment adherence.
• Identified limitations include small sample sizes, lack of longitudinal validation, opaque algorithms, psychological overdependence risks, and digital exclusion.

Conclusions:

• AI and XR in metaverse settings offer promising avenues for personalized, scalable, and engaging mental health care.
• The current evidence base is limited by methodological inconsistencies and requires long-term validation.
• Future research and strong interdisciplinary governance are crucial for responsible, ethical, and equitable integration of these technologies.