Proceedings from the Human Behavior-Computational Modeling and Interoperability Conference (2009)
Predictive models of human socio-cultural behavior (HSCB) are often developed to aid decision makers by providing insight into current situations and the potential consequences of alternative courses of action. However, in many cases the operational users—the intended beneficiaries of these sophisticated, complex HSCB models—exhibit a lack of trust in the models and the insights they might provide. In this paper, we present one approach wherein context-specific taxonomies of meta-information about the model are used as a map between the needs, practices, and language of model builders and operational users.
For More Information
(Please include your name, address, organization, and the paper reference. Requests without this information will not be honored.)