Current computational modeling of human performance can benefit from reusable building blocks of human behavior. Using CPM-GOMS, a cognitively-based task analysis method used in HCI, we have been exploring the concept of reusable templates of common behaviors and their efficacy for generating zero-parameter a priori predictions of complex human behavior. This paper details the features we believe are important when moving from hand-crafted models of particular tasks to reusable building blocks of commonly occurring behavior. As this becomes common practice, proportionately more attention can be paid to the task analysis specific to each new domain.
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