Dance as a mental health therapy in the Metaverse: exploring the therapeutic potential of Dance Movement Therapy as a non-pharmacological treatment in the Metaverse

IF 2.4 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
P. Radanliev
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引用次数: 0

Abstract

This study conducts a detailed qualitative review of Alternative Therapies for mental health and proposes a novel design for integrating Non-Pharmacological Interventions into the Metaverse Extended Reality environments.This study investigates the potential of the Extended Reality environments for Non-Pharmacological Interventions in Mental Health, with a specific focus on Dance Movement Therapy as a preventive and therapeutic strategy for anxiety, depression, and other mental health conditions.This study conducts qualitative evidence syntheses of primary quantitative data and performs meta-analyses of existing studies of participants reporting anxiety, depression, or other mental health conditions.Dance Movement Therapy in the extended reality environments shows promise as a viable alternative therapy, but data privacy and ethical considerations must be addressed.This study raises significant concerns regarding the privacy and security of participants' data, necessitating the storage of only the metadata in electronically compatible files, in cases where users' data is stored for long-term preservation.The outcomes of this study could revolutionize mental health practice, providing effective Non-Pharmacological Interventions for anxiety, depression, and other mental health conditions.
元宇宙中作为心理健康疗法的舞蹈:探索元宇宙中作为非药物疗法的舞蹈运动疗法的治疗潜力
本研究对心理健康的替代疗法进行了详细的定性审查,并提出了将非药物干预措施整合到元宇宙扩展现实环境中的新颖设计。本研究调查了扩展现实环境在心理健康非药物干预方面的潜力,特别关注舞蹈运动疗法作为焦虑、抑郁和其他心理健康问题的预防和治疗策略。本研究对主要定量数据进行了定性证据综合,并对报告焦虑、抑郁或其他心理健康问题的参与者的现有研究进行了元分析。本研究提出了有关参与者数据隐私和安全的重大问题,因此在长期保存用户数据的情况下,有必要仅在电子兼容文件中存储元数据。本研究的成果可能会彻底改变心理健康实践,为焦虑、抑郁和其他心理健康问题提供有效的非药物干预。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Frontiers in Computer Science
Frontiers in Computer Science COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-
CiteScore
4.30
自引率
0.00%
发文量
152
审稿时长
13 weeks
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