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2004
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A constraint satisfaction approach to predicting skilled interactive cognition

10 years 8 months ago
A constraint satisfaction approach to predicting skilled interactive cognition
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. Author Keywords user modeling, tools for usability evaluation. ACM Classification Keywords constraint satisfaction, formal user-modeling.
Alonso H. Vera, Andrew Howes, Michael McCurdy, Ric
Added 01 Dec 2009
Updated 01 Dec 2009
Type Conference
Year 2004
Where CHI
Authors Alonso H. Vera, Andrew Howes, Michael McCurdy, Richard L. Lewis
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