Journal article
Examining the potential of VR program Tilt Brush in reducing anxiety
Virtual Reality, Vol.27, pp.3379-3391
2023
PMCID: PMC9647245
PMID: 36405877
Appears in UniSC Supported Open Access Outputs
Abstract
Recent advancement in technology has made virtual reality (VR) more accessible and immersive than ever before, resulting in its increasing utility in various industries. Despite this, VR has remained an underutilised tool within clinical psychology. This study aimed to explore the potential of using VR for therapeutic benefits through examining the level of flow and anxiety-reducing effects of freeform drawing in real life (on paper) versus drawing in VR (using Tilt Brush) via a randomised-controlled trial with 40 participants. State and trait anxiety was measured using the State-Trait Anxiety Inventory, level of flow was measured using the Long Flow State Scale, and level of presence was measured using the iGroup Presence Questionnaire. Overall level of flow was not significantly different between both groups, implying drawing in VR induces as much flow as drawing in real life. Level of flow was positively correlated to level of presence experienced in the VR group (
p
< .01). Although there was no significant interaction effect, both groups experienced an overall decrease in state anxiety, with the VR group experiencing a significant reduction of state anxiety from pre- to post-test (
p
< .01).
Details
- Title
- Examining the potential of VR program Tilt Brush in reducing anxiety
- Authors
- Janice Tan (Author) - University of the Sunshine Coast, Queensland, School of Health and Behavioural Sciences - LegacyLee Kannis-Dymand (Author) - University of the Sunshine Coast, Queensland, School of Health and Behavioural Sciences - LegacyChristian M Jones (Corresponding Author) - University of the Sunshine Coast, Queensland, School of Law and Society
- Publication details
- Virtual Reality, Vol.27, pp.3379-3391
- Publisher
- Springer UK
- Date published
- 2023
- DOI
- 10.1007/s10055-022-00711-w
- ISSN
- 1434-9957
- PMID
- 36405877; PMC9647245
- Copyright note
- This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
- Organisation Unit
- Engage Research Lab; School of Health - Psychology; School of Law and Society; School of Health and Behavioural Sciences - Legacy; Sustainability Research Cluster
- Language
- English
- Record Identifier
- 99690698502621
- Output Type
- Journal article
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- Web Of Science research areas
- Computer Science, Interdisciplinary Applications
- Computer Science, Software Engineering
- Imaging Science & Photographic Technology