Depression Detection Using Virtual Reality: A Literature Review Zhang, Chi Luo, Hao Li, Yi (Joy) 2020-12-24T19:49:53Z 2020-12-24T19:49:53Z 2021-01-05
dc.description.abstract Depression is a mood disorder that can cause mental suffering, functional impairment, physical abuse or automutilation. Early detection will help depressed people to seek professional advice and treatment earlier and recover sooner. Emerging technologies such as virtual reality (VR) have been used to assist in interventions because of their advantages in providing more flexible solutions to implement therapeutic methods. However, the applications of using VR as a diagnostic tool for mental disorders have not been thoroughly investigated. In this study, prior studies that used VR for detecting depression were reviewed and summarized. Also reviewed were other emerging technologies for depression detection. By summarizing the effort on this topic and proposing an integrated framework, we hope that the presented work will reduce the barriers to implement emerging technologies in supporting traditional depression diagnostic methods, with a further expectation to provide inspiration and guidance for future studies.
dc.format.extent 8 pages
dc.identifier.doi 10.24251/HICSS.2021.487
dc.identifier.isbn 978-0-9981331-4-0
dc.language.iso English
dc.relation.ispartof Proceedings of the 54th Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.subject Virtual, Augmented, and Mixed Reality in Healthcare
dc.subject depression detection
dc.subject mental health
dc.subject serious games
dc.subject virtual reality
dc.title Depression Detection Using Virtual Reality: A Literature Review
prism.startingpage 4001
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