Human-Wildfire Interfaces Towards Wildfire Mitigation in Wildfire and the Wildland Urban Interface (WUI) Communities

Abstract

In recent years, wildfires have taken over our critical infrastructure, cities, and communities, and to date, efforts to mitigate wildfires are still unable to match the needs. More specifically, existing wildfire mitigation strategies in communities at risk do not prepare managers, authorities and emergency responders well to prevent or respond to such disasters. In this paper, we propose developing human-wildfire model interfaces that can assist responders, inspectors, and managers to better share and communicate wildfire risk and damage and change human behavior, from owners to emergency responders. The study of this interface will also explore the use of machine-aided digital twin experience aids pre-disasters that can assist emergency responders to make better decisions of evacuation or rescue to save lives. The goal of this research is to advance a new interface between the human, their environment during fire, and the perception of fire risk in the context of Wildfire and Wildland Urban Interface (WUI) using Augmented Reality (AR).