A Constraint Satisfaction Approach to Predicting Skilled Interactive Cognition
Vera, A.H., Howes, A., McCurdy, M., Lewis, R.L., (2004) A constraint satisfaction approach to predicting skilled interactive cognition. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 121-128.
In this paper we report a new approach to generating predictions about skilled interactive cognition. The approach, which we call Cognitive Constraint Modeling, takes as input a description of the constraints on a task environment, on user strategies, and on the human cognitive architecture and generates as output a prediction of the time course of interaction. In the Cognitive Constraint Models that we have built this is achieved by encoding the assumptions inherent in CPM-GOMS as a set of constraints and reasoning about them using finite domain constraint satisfaction.
