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Modeling user navigation

Sas, Corina and Reilly, R. and O'Hare, G.M.P. and Marian, I. and Mangina, E. (2003) Modeling user navigation. WSEAS Transactions on Systems, 12 (5). pp. 582-588.

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    Abstract

    This paper proposes the use of neural networks as a tool for studying navigation within virtual worlds. Results indicate that the network learned to predict the next step for a given trajectory. The analysis of hidden layer shows that the network was able to differentiate between two groups of users identified on the basis of their performance for a spatial task. Time series analysis of hidden node activation values and input vectors suggested that certain hidden units become specialised for place and heading, respectively. The benefits of this approach and the possibility of extending the methodology to the study of navigation in Human Computer Interaction applications are discussed.

    Item Type: Article
    Journal or Publication Title: WSEAS Transactions on Systems
    Uncontrolled Keywords: cs_eprint_id ; 2109 cs_uid ; 391
    Subjects: Q Science > Q Science (General)
    Departments: Faculty of Science and Technology > School of Computing & Communications
    ID Code: 42341
    Deposited By: ep_importer_comp
    Deposited On: 11 Dec 2008 13:22
    Refereed?: Yes
    Published?: Published
    Last Modified: 26 Jul 2012 18:08
    Identification Number:
    URI: http://eprints.lancs.ac.uk/id/eprint/42341

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