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Virtual dance movement therapy for reducing anxiety, and artificial intelligence for monitoring the body and mind during therapy

Abstract:
Dance Movement Therapy (DMT) is an established psychotherapeutic intervention that utilises movement to support emotional, cognitive, and physical well-being. While traditional DMT is practiced in physical settings, Extended Reality (XR) presents a new opportunity to expand accessibility by integrating immersive, interactive environments with structured therapeutic movement interventions. This study explores how XR-based DMT can serve as a preventative approach for anxiety by applying wearable biometric monitoring and AI-driven personalisation. Unlike recreational virtual dance activities such as Zumba or general movement-based fitness applications, XR-based DMT follows a structured therapeutic model, incorporating principles of mirroring, embodied cognition, and rhythmic synchronisation to enhance emotional regulation and engagement. The study employs real-time physiological feedback mechanisms, where biometric markers such as heart rate variability (HRV) and skin conductance inform dynamically adapted movement interventions. The findings suggest that XR-enhanced DMT provides a scalable, non-pharmacological intervention for individuals experiencing early-stage anxiety. This study contributes to the growing field of digital DMT by providing an evidence-based framework for integrating immersive technology into therapeutic movement practices, ensuring adherence to the core principles of dance movement therapy rather than generic dance-based interventions. Future research should address long-term efficacy, therapist-led versus AI-assisted interactions, and the potential for XR-DMT in community-based settings.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1080/14647893.2025.2486256

Authors

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Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Role:
Author
ORCID:
0000-0001-5629-6857


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Funder identifier:
https://ror.org/001aqnf71
Grant:
EP/S035362/1


Publisher:
Taylor & Francis
Journal:
Research in Dance Education More from this journal
Publication date:
2025-04-02
Acceptance date:
2025-03-26
DOI:
EISSN:
1470-1111
ISSN:
1464-7893


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