Immersive experience combining VR technology and escape room
DOI:
https://doi.org/10.61173/07vh0h80Keywords:
Immersive experience, social terrorist groups, VR technology, interactivityAbstract
In order to enhance the immersion of players in the escape room and improve the game experience, this paper studies the application of VR technology in the escape room game by combining VR technology with the escape room, explores the methods and explanations for social terrorist organizations to better integrate into VR games, and discusses the development prospect of VR technology.References
[1] Li L, Yu F, Shi D, Shi J, Tian Z, Yang J, et al. Application of virtual reality technology in clinical medicine. Am J Transl Res (2017) 9:3867–80. doi: 10.4247/AM.2017.ABH
[2] 187Amin, R., Svedberg, P. and Narusyte, J. (2019) Associations between Adolescent Social Phobia, Sickness Absence and Unemployment: A Prospective Study of Twins in Sweden. European Journal of Public Health, 29, 931-936. Amjady N. Short-term hourly load forecasting using time series modeling with peak load estimation capability. IEEE Transactions on Power Systems, 2001, 16(4): 798-805.
[3] A total of 220 people were surveyed in this questionnaire survey, and 206 valid questionnaires were recovered, accounting for 93.64% of the whole questionnaire. SHI Biao, LI Yu Xia, YU Xhua, YAN Wang. Short-term load forecasting based on modified particle swarm optimizer and fuzzy neural network model. Systems Engineering-Theory and Practice, 2010, 30(1): 158-160.
[4] Bekrater-Bodmann R, Foell J, Diers M, Kamping S, Rance M, Kirsch P, et al. The importance of synchrony and temporal order of visual and tactile input for illusory limb ownership experiences - an FMRI study applying virtual reality. PLoS One (2014) 9:e87013. doi: 10.1371/journal.pone.0087013
[5] Jiang Shuai, Ren Xiaohu, Cheng Yanpeng, et al. Hidden health hazards and management suggestions in “escape room” places [J]. Environmental and Occupational Medicine, 2023, 39(10): 1160-1164.Ma Kunlong. Short term distributed load forecasting method based on big data. Changsha: Hunan University, 2014.
Downloads
Published
Issue
Section
License
Copyright (c) 2024 by the authors.
This work is licensed under a Creative Commons Attribution 4.0 International License.
