Experiment of Disaster Prevention Education and Evaluation Using a Torrential Rain Simulated Experience Application

In the field of transport safety as represented by automobiles, aircraft, etc., risk prediction training using CG or applications imagining scenarios linked to accidents is being actively implemented as training for the purpose of avoiding accidents. In this kind of education for improving sensitivity toward risk, simulated experience is said to be effective. Therefore, in this research, we developed an application using augmented reality to enable re-creation of a series of rainfall patterns existing before and after the occurrence of weather disasters that occurred in the past. We used the application developed to enable audiovisuals of rainfall during disasters, and elicited a response to the timing and state of damage when actual damage occurred, to propose a disaster education framework capable of enabling evacuation action at an earlier stage. Furthermore, in disaster prevention training held by Takatsuki city, we put into practice the proposed disaster prevention education framework targeting the citizens, and used the Human Cognitive Reliability model (HCR) to verify the relationship of sensitivity to risk and evacuation action.