Research on the Design Strategy of Virtual Healing Space Based on User Emotional Needs
- DOI
- 10.2991/978-94-6463-562-1_37How to use a DOI?
- Keywords
- prEmo mood card method; Virtual healing; Healing environment; Healing space design
- Abstract
Under the fierce competition and pressure of today’s society, stress and anxiety seem to be part of our daily life. However, traditional offline healing environmental resources are limited, which limits the comprehensive recovery of patients with psychological diseases, and also hinders their in -depth understanding of their psychological state. In order to break this limit, this article takes the limitations of traditional healing as the starting point. Through in -depth research on existing literature, it confirms the potential of virtual reality technology in assisting the treatment of psychological diseases. In addition, combined with the evaluation of user emotional needs in combination with questionnaire surveys and Premo methods, this article further explores the design needs of psychotherapy space, and proposed three design strategies based on this.
- Copyright
- © 2024 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Han Chen AU - Yixin Shi AU - Xuezi Li PY - 2024 DA - 2024/11/13 TI - Research on the Design Strategy of Virtual Healing Space Based on User Emotional Needs BT - Proceedings of the 2024 5th International Conference on Big Data and Social Sciences (ICBDSS 2024) PB - Atlantis Press SP - 413 EP - 424 SN - 2352-538X UR - https://doi.org/10.2991/978-94-6463-562-1_37 DO - 10.2991/978-94-6463-562-1_37 ID - Chen2024 ER -