Abstract
Indoor evacuation systems are needed for rescue and safety management. One of the challenges is to provide users with personalized evacuation routes in real time. To this end, this project aims at exploring the possibilities of Google Glass technology for participatory multiagent indoor evacuation simulations. Participatory multiagent simulation combines scenario-guided agents and humans equipped with Google Glass that coexist in a shared virtual space and jointly perform simulations. The paper proposes an architecture for participatory multiagent simulation in order to combine devices (Google Glass and/or smartphones) with an agent-based social simulator and indoor tracking services.
Highlights
Recent tragedies involving crowd evacuations in events, such as massive parties, terrorist attacks and sports events, have focused attention on the importance of effective evacuations.Emergency evacuation, known as egress, is a critical component of emergency response and requires developing in advance evacuation preparation activities that ensure that people can get to safety in case of emergency
We conducted an empirical study in which participants interact with the system in both devices (Google Glass and smartphone/tablet), and we evaluate its experience through the process
This paper presents a participatory agent-based simulation architecture for an evacuation scenario, where users can receive evacuation instructions using Google Glass, smartphones and tablets
Summary
Recent tragedies involving crowd evacuations in events, such as massive parties, terrorist attacks and sports events, have focused attention on the importance of effective evacuations.Emergency evacuation, known as egress, is a critical component of emergency response and requires developing in advance evacuation preparation activities that ensure that people can get to safety in case of emergency. Public address systems and video screens are usually used for communicating with the crowd about the emergency and for providing evacuation instructions. These systems are not capable of providing individualized evacuation instructions to suit user’s characteristics. Existing research of social theories has explored crowd behaviors [16] in emergencies from the following perspectives: decision making, exit times, clinical issues and crowd behavior [1,12]. Other relevant aspects for exit selection come from the interaction of people with other users, where relevant aspects are their personality (e.g., shy) to follow or cooperate with other users [19,20]
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