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.

翻译：近年来，新兴技术如虚拟现实（VR）在治疗环境中的应用日益增多。通过引入VR，像抑郁症这样的心理健康状况能够得到有效评估，同时为治疗目的提供个性化激励和有意义的参与感。外部传感器的整合进一步增强了受试者对VR场景的互动性。本文对现有利用VR进行抑郁症检测与治疗的文献进行了全面综述，探讨了研究人员和专业人士在该领域采用的各种VR场景类型、外部硬件、创新评估指标及定向用户研究。本文还讨论了专门针对抑郁症评估与治疗设计VR场景的潜在要求，旨在为未来该领域的实践者提供指导。