Development and Evaluation of an Immersive Metaverse-Based Meditation System for Psychological Well-Being Using LLM-Driven Scenario Generation
Aihe Yu, Gyuhyuk Lee, Yu Liu, Mingfeng Zhang, Seung Eun Jung, Jisun Park, Jongtae Rhee, Kyungeun Cho
Systems September 11, 2025 DOI: 10.3390/systems13090798 (opens in new tab) via OpenAlex
Summary
AI-generated from the abstractA novel immersive meditation system deployed in a metaverse environment was tested for feasibility and preliminary effects. The system includes two modules: an experience-based module with AI-driven social interactions in simulated everyday scenarios, using large language models to generate narrative content, followed by guided reflection; and a breathing-focused module with real-time breath-synchronization feedback. In a two-week, single-group study of 31 participants, validated questionnaires measured psychological distress, mindfulness, acceptance, self-compassion, and self-esteem before and after the intervention. Results provide exploratory evidence that immersive metaverse environments and LLM-based scenario generation are feasible for structured mental health interventions and may have positive psychological effects.
Study at a glance
| Characteristics | Pre-test/post-test study Peer reviewed |
|---|---|
| Sample size | 31 |
| Population | Participants |
| Duration | Two-week intervention |
| Topics | Anxiety Meditation |
| Keywords | Experiential learning Software deployment Mental health Narrative |
| Citations | 2 |
| Key finding | Immersive metaverse environments and LLM-based scenario generation are feasible for structured mental health interventions and show potential psychological impact. |
Abstract
The increasing prevalence of mental health disorders highlights the need for innovative and accessible interventions. Although existing digital meditation applications offer valuable basic guidance, they often lack interactivity, real-time personalized feedback, and dynamic simulation of real-life scenarios necessary for comprehensive experiential training applicable to daily stressors. To address these limitations, this study developed a novel immersive meditation system specifically designed for deployment within a metaverse environment. The system provides mindfulness practice through two distinct modules within the virtual world. The experience-based module delivers AI-driven social interactions within simulated everyday scenarios, with narrative content dynamically generated by large language models (LLMs), followed by guided inner reflection, thereby forming a scenario–experience–reflection cycle. The breathing-focused module provides real-time feedback through a breath-synchronization interface to enhance respiratory awareness. The feasibility and preliminary effects of this metaverse-based system were explored in a two-week, single-group, pre-test/post-test study involving 31 participants. The participants completed a battery of validated psychological questionnaires assessing psychological distress, mindfulness, acceptance, self-compassion, and self-esteem before and after engaging in the intervention. This study provides exploratory evidence supporting the feasibility and potential of immersive metaverse environments and LLM-based scenario generation for structured mental health interventions, providing initial insights into their psychological impact and user experience.