October 9, 2009
Conference Paper

Gaming to Predict Human Responses to Mass Casualty Events: An Approach for Quick Look Tools for Pandemic Influenza

Abstract

There is a need to better understand and describe social intelligence in the realm of handling mass casualty events such as pandemic influenza, earthquakes, and other natural or manmade disasters. A comprehension of social intelligence is needed in order to accurately feed and drive models and simulations that attempt to describe and quantify human responses to such mass casualty events, which can allow decision makers to identify potential mitigation strategies that might be used to minimize the impacts of these events by reducing numbers of deaths, injuries, and other societal (e.g., economic) consequences. We propose to develop a better understanding of social intelligence and socially driven human responses through the use of games and game-like interfaces with a direct application focused on infectious diseases.

Revised: September 20, 2016 | Published: October 9, 2009

Citation

Brigantic R.T., G. Muller, A.E. Taylor, and A.F. Papatyi. 2009. Gaming to Predict Human Responses to Mass Casualty Events: An Approach for Quick Look Tools for Pandemic Influenza. In International Conference on Computational Science and Engineering (CSE 2009), August 29-31 2009, Vancouver, Canada. Piscataway, New Jersey:IEEE. PNNL-SA-67193. doi:10.1109/CSE.2009.388