Conditional random fields for web user task recognition based on human computer interaction

Abstract

In this paper we apply the Conditional Random Fields approach for modeling human navigational behavior based on mouse movements to recognize web user tasks. In fact, inferring activity of web users is an important topic of Human Computer Interaction. To improve the interaction process, many studies have been performed for understanding how users interact with web interfaces in order to perform a given activity. The Experimental evaluation and analysis of the results of the model we present in this paper demonstrate the efficiency of our model in human tasks recognition.