Journal article
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
- Abstract:
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Introduction: 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.
Aim/Question: 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.
Method: 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.
Results: Dance Movement Therapy in the extended reality environments shows promise as a viable alternative therapy, but data privacy and ethical considerations must be addressed.
Discussion: 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.
Implications for Practice: The outcomes of this study could revolutionize mental health practice, providing effective Non-Pharmacological Interventions for anxiety, depression, and other mental health conditions.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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- Files:
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(Preview, Version of record, pdf, 3.6MB, Terms of use)
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- Publisher copy:
- 10.3389/fcomp.2024.1334027
Authors
- Grant:
- EP/S035362/1
- ES/V003666/1
- Publisher:
- Frontiers Media
- Journal:
- Frontiers in Computer Science More from this journal
- Volume:
- 6
- Article number:
- 1334027
- Publication date:
- 2024-02-07
- Acceptance date:
- 2024-01-26
- DOI:
- EISSN:
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2624-9898
- Language:
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English
- Keywords:
- Pubs id:
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1606808
- Local pid:
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pubs:1606808
- Deposit date:
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2024-01-26
Terms of use
- Copyright holder:
- Petar Radanliev
- Copyright date:
- 2024
- Rights statement:
- © 2024 Radanliev. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
- Licence:
- CC Attribution (CC BY)
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