ITcon Vol. 19, pg. 336-349, http://www.itcon.org/2014/20

Cloud-based deep immersive game for human egress data collection: a framework

submitted:December 2013
revised:May 2014
published:September 2014
editor(s):Wang X., Li H., Wong J. and Li H.
authors:Rui Liu, Assistant Professor
Department of Construction Science, College of Architecture, 501 W.César E. Chávez Blvd, San Antonio, TX -78207; PH (210) 458-3054
email: rui.liu@utsa.edu

Jing Du, Assistant Professor
Department of Construction Science, College of Architecture, 501 W.César E. Chávez Blvd, San Antonio, TX -78207; PH (210) 458-3053
email: jing.du@utsa.edu

Raja R.A. Issa, Holland Professor
Rinker School of Construction Management, University of Florida, PO Box 115703, Gainesville, FL, 32611; PH (352) 273-1152
email: raymond-issa@ufl.edu
summary:Human behavior is one of the most important yet hard to capture factors in emergency evacuation simulation. It is difficult and most of the time virtually impossible in reality, to conduct an evacuation test to study human behavior in buildings during emergency situations. Various research efforts have determined that serious games integrated with rich building information can provide an effective and efficient alternative of real emergency situation. However, as different people may react very differently, real human behaviors in emergency scenarios need to be determined for a vast number of human beings in emergency scenarios to test and validate these games. Consequently, the development of a library that contains validated human egress behaviors is the key to the simulation of evacuation in an emergency environment and developing an accurate emergency evacuation analysis. This study develops the framework to build a human behavior library through a BIM based cloud gaming environment, which grants players accessibility to games via thin clients. As a result, such games have the possibility to solicit and collect human egress behavior data from a larger pool of human beings. The repository of the human library is based on the framework of Agent Based Modeling (ABM) where human behavioral data is encapsulated as methods of agents. To overcome the limitations related to individual human factors, the hypothesis is that human behavior can be explored in an immersive serious game and that the decisions made by the humans in the game scenario are identical to the decisions made during the same situation in the real world.
keywords:Human Behavior, Serious Game, Emergency Evacuation, BIM, Cloud Gaming
full text: (PDF file, 0.884 MB)
citation:Liu R, Du J, Issa RRA (2014). Cloud-based deep immersive game for human egress data collection: a framework, ITcon Vol. 19, Special issue BIM Cloud-Based Technology in the AEC Sector: Present Status and Future Trends, pg. 336-349, http://www.itcon.org/2014/20