  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.
