Characterization and future perspectives of Virtual Reality Evacuation Drills for safe built environments: A Systematic Literature Review

Physical evacuation drills are pre-planned activities to train building occupants in facing emergencies and evaluate safety performances. Nowadays, technologies including Virtual Reality (VR) and Immersive Virtual Reality (IVR) are shifting from the physical to the virtual paradigm. AR enables just to extend real-world environment, while VR and IVR allow to (re)create and manipulate digital environments. VR and IVR simulation systems have been observed to guarantee higher involvement and long-term information retention - leveraging more attractive experiences and psychological arousal. However, efforts should be provided to improve end-user training while assessing occupants' behaviors and the effectiveness of the emergency plan. This paper proposes a systematic literature review of VR and IVR evacuation solutions. To support and guide such effort, we formulated thirteen structured research questions investigating scenarios, recipients, requirements, objectives, methods, and technologies. The results mainly show that VR and IVR drills almost entirely tackle a single hazard, considers occupants as sole system recipients, and lack systems formalization. Among the most relevant outcomes, the paper analyzes the need for enhancing the modeling of emergency systems (e.g., signage, alarms), user inclusiveness (i.e., impaired individuals), devices, non-player characters, and additional effects (e.g., heat reproduction, sounds, and smells). These measures can improve the level of realism experienced by the user of IVR simulators and pave the way to more reliable outcomes.

Automated summary

Physical evacuation drills are important for training building occupants and evaluating safety performances. The use of VR and IVR simulation systems can provide more realistic and engaging experiences, leading to better training outcomes. However, there is a need for improvements in emergency system modeling and user inclusiveness to enhance the effectiveness of these systems.