A process model for XR-enabled research is proposed, with actionable recommendations about how XR-enabled research should be planned, designed, implemented, analyzed, verified, and validated.
This figure shows an indoor immersive augmented reality-based navigation system. It comes from an experiment that explores the effects of different immersive augmented reality-based navigation systems on human cognitive map building and wayfinding performance in a complex building.
This figure shows a virtual experiment platform designed for exploring human evacuation behavior in fire. It comes from an experiment on the influence of emergency broadcast speed and the amount of information volume on human evacuation behavior.
This figure shows an aerial screenshot of the virtual evacuation experiment platform and a screenshot of the details of the subway brakes. The platform is a high immersive multi-channel human-computer interaction VR evacuation experiment platform. The research team developed an virtual subway station model with 700,000 faces based on Beijing LishuiQiao subway station in the platform.
Understanding human evacuation behaviour in building emergencies in-depth in aspects of is of great significance to simulate crowd evacuation, to optimize building design, to effectively intevene evacuation and effectively conduct fire evacuation training. However, human evacuation behavior has high complexity. Prior research focused on the crowd evacuation behavior, but lacked of the in-depth analysis of individual evacuation behavior. Based on the cognitive and behavioral theories related to human crisis response, this research developed a theoretical model of individual evacuation wayfinding behavior in the context of building emergencies. Based on the virtual evacuation behavior experiment platform developed by the research team, a series of evacuation behavior experiments were carried out. The collected data was quantitatively analyzed for quantifying and verifying the theoretical model. The research aims to understand the individual evacuation behavior mechanism, so as to provide scientific basis and decision support for building emergency management.
Xiaolu Xia, Jieyu Chen, Jing Lin, Lijun Cao, Hao Zou
The National Natural Science Foundation of China (NSFC): No. 71603145,
2017.01-2019.12
The National Social Science Fund of China (NSSFC): No. 17ZDA117,
2016.1~2018.12
