상세 보기
- Yu, Aihe;
- Lee, Gyuhyuk;
- Liu, Yu;
- Zhang, Mingfeng;
- Jung, Seunga;
- ... Cho, Kyungeun;
- 외 2명
WEB OF SCIENCE
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1초록
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.
키워드
- 제목
- Development and Evaluation of an Immersive Metaverse-Based Meditation System for Psychological Well-Being Using LLM-Driven Scenario Generation
- 저자
- Yu, Aihe; Lee, Gyuhyuk; Liu, Yu; Zhang, Mingfeng; Jung, Seunga; Park, Jisun; Rhee, Jongtae; Cho, Kyungeun
- 발행일
- 2025-09
- 유형
- Article
- 저널명
- Systems
- 권
- 13
- 호
- 9
- 페이지
- 1 ~ 48