“Drop the beat”: Virtual reality based mindfulness and cognitive behavioral therapy for panic disorder — A pilot study

Eunbi Seol, Seulki Min, Sungho Seo, Seoyeon Jung, Youngil Lee, Jaedong Lee, Jeonghyun Kim, Chungyean Cho, Seungmoo Lee, Chul Hyun Cho, Seungmoon Choi, Dooyoung Jung

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

Abstract

In this paper, we present a virtual reality based content/system called the “Drop the beat” designed to help the mindfulness and train one to overcome panic disorder. The two main elements of the proposed system are the (1) use of 360-degree video for presenting the panic inducing situation and, (2) facilitation of the mindfulness through a compelling scenario and immersive experience with multimodal feedback. In particular, we hypothesized that the direct observance and tangibly feeling for the beating heart in one's hand would help the user train to rationalize and overcome the situation (and e.g. effectively bring down one's heart rate back to a normal level). We conducted a small pilot study, administering the proposed VR content to five panic disorder patients and report the interim results.

Original languageEnglish
Title of host publicationProceedings - VRST 2017
Subtitle of host publication23rd ACM Conference on Virtual Reality Software and Technology
PublisherAssociation for Computing Machinery
VolumePart F131944
ISBN (Electronic)9781450355483
DOIs
Publication statusPublished - 2017 Nov 8
Event23rd ACM Conference on Virtual Reality Software and Technology, VRST 2017 - Gothenburg, Sweden
Duration: 2017 Nov 82017 Nov 10

Other

Other23rd ACM Conference on Virtual Reality Software and Technology, VRST 2017
CountrySweden
CityGothenburg
Period17/11/817/11/10

ASJC Scopus subject areas

  • Software

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    Seol, E., Min, S., Seo, S., Jung, S., Lee, Y., Lee, J., Kim, J., Cho, C., Lee, S., Cho, C. H., Choi, S., & Jung, D. (2017). “Drop the beat”: Virtual reality based mindfulness and cognitive behavioral therapy for panic disorder — A pilot study. In Proceedings - VRST 2017: 23rd ACM Conference on Virtual Reality Software and Technology (Vol. Part F131944). [a57] Association for Computing Machinery. https://doi.org/10.1145/3139131.3141199