Lin Ma, Jing Chen, Qiyuan An, Xinggang Hou, Yidan Qiao, Jiahui Wu, Qiuyuan Zhu, Yizhou Li, Yuan Feng, Dengkai Chen
Immersive virtual nature (IVN) is an effective strategy for mitigating anxiety and stress associated with prolonged indoor lifestyles. This study evaluated stress recovery differences across various IVN scenes that incorporate different combinations of natural elements. Initial identification of key elements for creating relaxing digital environments was conducted through an online survey. Subsequently, a between-subjects experiment involving six distinct scenario configurations was implemented with a participant pool of 61 individuals. Following stress induction, recovery was assessed, measuring physiological indices such as heart rate, the root mean square of successive differences (RMSSD), skin conductance level (SCL), and the electroencephalography alpha/beta power ratio. Psychological responses were evaluated using the State-Trait Anxiety Inventory-State form and Subjective Coordinate Scale. The results indicated that IVN scenes featuring both water and plants significantly improved RMSSD and SCL recovery compared to scenarios devoid of any elements. Each element uniquely influenced the alpha/beta ratio, with notable variations in recovery rates across different scenarios. Participants reported enhanced emotional relaxation following exposure to IVN settings. This study substantiates the differential restorative effects of various element combinations and underscores the pivotal roles of water, plants, sunlight, and color-material-finish in the optimized design and development of digital nature scenes.