  In the last decade, scenario-based serious-games have become a main tool for
learning new skills and capabilities. An important factor in the development of
such systems is the overhead in time, cost and human resources to manually
create the content for these scenarios. We focus on how to create content for
scenarios in medical, military, commerce and gaming applications where
maintaining the integrity and coherence of the content is integral for the
system's success. To do so, we present an automatic method for generating
content about everyday activities through combining computer science techniques
with the crowd. We use the crowd in three basic ways: to capture a database of
scenarios of everyday activities, to generate a database of likely replacements
for specific events within that scenario, and to evaluate the resulting
scenarios. We found that the generated scenarios were rated as reliable and
consistent by the crowd when compared to the scenarios that were originally
captured. We also compared the generated scenarios to those created by
traditional planning techniques. We found that both methods were equally
effective in generated reliable and consistent scenarios, yet the main
advantages of our approach is that the content we generate is more varied and
much easier to create. We have begun integrating this approach within a
scenario-based training application for novice investigators within the law
enforcement departments to improve their questioning skills.
