Expressing Disaster Situations for Evacuation Training Using Markerless Augmented Reality
Hiroyuki Mitsuhara, Chie Tanimura, Junko Nemoto, Masami Shishibori · Procedia Computer Science · 2021
Evacuation training is crucial for protecting human lives from natural and man-made disasters, but it should be more realistic to achieve training effects. In this study, we focused on expressing disaster situations using markerless augmented reality to achieve realistic evacuation training. We prototyped a scenario-based evacuation training system that superimposed three-dimensional computer graphics of disaster situations (e.g. fire and debris) onto real-time vision (captured by Android tablets or smartphones) using ARCore and Unity3D. Through preliminary experiments, we found that the prototype system can provide realistic expression and potentially be used for evacuation training, but we have not yet clarified the training results and how the expressions influenced participants’ emotions.