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VR-ACT: transforming clinical evidence of acceptance and commitment therapy through virtual reality for subthreshold depressionopen access

Authors
Kim, BogoanJeong, DayoungChoi, YoonseonKim, HyungsookHan, Kyungsik
Issue Date
Mar-2026
Publisher
SPRINGER LONDON LTD
Keywords
Virtual reality; Acceptance and commitment therapy; Subthreshold depression; Digital transformation
Citation
VIRTUAL REALITY, v.30, no.1, pp 1 - 18
Pages
18
Indexed
SCIE
SCOPUS
Journal Title
VIRTUAL REALITY
Volume
30
Number
1
Start Page
1
End Page
18
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/210822
DOI
10.1007/s10055-025-01251-9
ISSN
1359-4338
1434-9957
Abstract
Subthreshold depression (StD), recognized as a precursor to major depressive disorder, can lead to significant functional impairment and social burden without timely intervention, posing critical challenges for traditional therapeutic approaches in terms of accessibility and sustained engagement. Harnessing the power of digital intervention can be one possible solution, and in this paper, we present VR-ACT, a virtual reality (VR) system developed through interdisciplinary collaboration (e.g., HCI, mental health). The aim of VR-ACT is to transform the six core principles of acceptance and commitment therapy (ACT) into VR content and provide immersive experiences tailored for individuals with StD. The feasibility of VR-ACT was evaluated in a quasi-experimental study with 56 participants (28 StD group, 28 non-depressed group). We employed user experience measures to assess the feasibility and user engagement potential of the system and investigated five hypotheses by analyzing unique behavioral patterns in the StD group through sensor and log data. The study results demonstrated that VR-ACT is a feasible approach for delivering immersive mental health support and revealed distinct behavioral patterns in the StD group that can serve as potential clinical indicators. Our study contributes to the digital transformation of ACT by demonstrating the feasibility of VR-ACT and identifying digital phenotypes specific to individuals with StD. Building on these findings, we propose a digital transformation framework that emphasizes (1) mapping clinical evidence onto user interaction data and (2) fostering interdisciplinary collaboration led by experts in HCI and immersive system design to develop evidence-based digital interventions. We also outline key design implications for enhancing user engagement in immersive therapeutic settings.
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