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Title:      USING USER COMPREHENSION FOR MODELING WEB NAVIGATION
Author(s):      Gustavo de la Cruz Martínez, Fernando Gamboa Rodríguez
ISBN:      978-972-8939-18-2
Editors:      Katherine Blashki
Year:      2010
Edition:      Single
Keywords:      Web navigation modeling, User behavior modeling
Type:      Short Paper
First Page:      300
Last Page:      304
Language:      English
Cover:      cover          
Full Contents:      click to dowload Download
Paper Abstract:      A computational cognitive model of web navigation is proposed. Based on semiotic theories of HCI and web navigation models, the plausibility of the proposed model is discussed. The model is based on the principle that users interact with the interface, in order to decode and interpret the message, and gradually unfolds from it all the meanings encoded by the UI designers. Thus, the model seeks evidence about the user comprehension on the user interaction; using Bayesian nets, it infers user interactive artifacts comprehension and uses this information in order to draw conclusions about interface and task concepts understanding. In the first experiments, we use the model to predict user navigation and we compare predictions with real user interaction.
   

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