Communities are preparing diligently for potential community-wide crises arising from natural and man-made causes. First responders are those people who train to fulfill emergency response roles on behalf of community residents, seeking to limit loss of life, protect property, and reduce the cost of long-term recovery periods associated with crisis scenarios. The cost of providing physical drills to train for participation in community-wide crises is exorbitant and the 24/7 demands for first responders can preclude participating in training even if a physical drill is made available. Simulation environments are computer programs with specialized interfaces that can expose humans to simulated crises in order to gain insight as to how they should respond in an actual crisis situation. Role-play allows for a live player to simulate the performance of activities independently as well as with other agents, all coordinated with simulation software to provide feedback as to their performance. The emergent field of serious games has attracted researchers who want to contribute to a distributed process of improving the experience and increasing the usefulness of such simulation environments.

This research develops and tests a software architecture named RimSim as a serious game for emergency response planning and training. The software design facilitates manipulation of various design issues such as the human interface and representational constructs for rapid assimilation and decision-making. Various implementations and testing of the RimSim within hospital evacuation teams for a specific community-wide hospital evacuation scenario demonstrates that the approach is viable and useful for further development and implementation. Appropriate metrics to evaluate the success of emergency response team players comes from a wide variety of fields including distributed cognition, distributed intelligence, situation awareness, and insight generation, each of which is described and integrated into the evaluation of subject experiments. In this research, metrics are calculated and discussed in terms of applicability and relevance to future work.