Welcome to the web site of our research project: EAGER: Collaborative: Computational Cognitive Modeling of User Security and Incentive Behaviors.

This project is sponsored by the U.S. National Science Foundation (Grant No. 1544493) as an effort to research users' security decisions from a behavioral perspective. Our research team includes researchers from the Johns Hopkins University and the Johns Hopkins University Applied Physics Laboratory. This project extends the cognitive modeling (CogM) architecture to characterize and improve user security decision-making and behaviors. Focusing on cognitive constructs in the ACT-R and Soar architectures, it models the multi-tasking application and security activities with varying cognitive traits and security constraints, through representations of productions and information chunks, as well as their utility and activation calculations. An analytic user model not only describes a problem in making a security decision, but also can explain why and how it happens for incentive and intervention selection. This web site is created and maintained by the research team to disseminate and share research results and other information related to the project. We welcome your comments and suggestions by contacting us at the email addresses provided below.