Using Virtual Reality for Detection and Intervention of Depression -- A Systematic Literature Review

March 04, 2024 Β· Declared Dead Β· πŸ› arXiv.org

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Authors Mohammad Waqas, Y Pawankumar Gururaj, V D Shanmukha Mitra, Sai Anirudh Karri, Raghu Reddy, Syed Azeemuddin arXiv ID 2403.01882 Category cs.HC: Human-Computer Interaction Citations 1 Venue arXiv.org Last Checked 4 months ago
Abstract
The use of emerging technologies like Virtual Reality (VR) in therapeutic settings has increased in the past few years. By incorporating VR, a mental health condition like depression can be assessed effectively, while also providing personalized motivation and meaningful engagement for treatment purposes. The integration of external sensors further enhances the engagement of the subjects with the VR scenes. This paper presents a comprehensive review of existing literature on the detection and treatment of depression using VR. It explores various types of VR scenes, external hardware, innovative metrics, and targeted user studies conducted by researchers and professionals in the field. The paper also discusses potential requirements for designing VR scenes specifically tailored for depression assessment and treatment, with the aim of guiding future practitioners in this area.
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