Roderick M. Riensche, Patrick R. Paulson, Gary R. Danielson, Stephen D. Unwin, R. Scott Butner, Sarah M. Miller, Lyndsey R. Franklin, Nino Zuljevic
We describe a methodology and architecture to support the development of games in a predictive analytics context. These games serve as part of an overall family of systems designed to gather input knowledge, calculate results of complex predictive technical and social models, and explore those results in an engaging fashion. The games provide an environment shaped and driven in part by the outputs of the models, allowing users to exert influence over a limited set of parameters, and displaying the results when those actions cause changes in the underlying model. We have crafted a prototype system in which we are implementing test versions of games driven by models in such a fashion, using a flexible architecture to allow for future continuation and expansion of this work.