Extending and Applying the EPIC Architecture for Human Cognition and Performance
Final rept. 1 Oct 2005-30 Sep 2010
MICHIGAN UNIV ANN ARBOR DIV OF RESEARCH DEVELOPMENT AND ADMINISTRATION
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This is the final report for a project on the development and validation of the EPIC cognitive architecture for modeling human cognition and performance. It continued a series of ONRsponsored projects on the development of the EPIC architecture for human cognition and performance, conducted by the same PI and also David Meyer of the University of Michigan. This extended activity produced a large number of products and accomplishments however, this report documents the outcome of only this specific project. In this project, the EPIC computational architecture for modeling human cognition and performance was extended and applied to tasks especially relevant to military applications. The project took advantage of other Navy-sponsored research on modeling complex tasks by comparing EPIC models to models built with the lower-fidelity but more usable GLEAN architecture for GOMS modeling, and combining the best features of both architectures. This project contributed to the developing capability of human performance modeling to help design future human-machine systems to be maximally effective. In the following section, each specific project goal is stated below, followed by a summary of the work accomplished for that goal.