Lancaster EPrints

A Connectionist Model of Spatial Knowledge Acquisition in a Virtual Environment

Sas, Corina and Reilly, R. and O'Hare, G.M.P. (2003) A Connectionist Model of Spatial Knowledge Acquisition in a Virtual Environment. In: Proceedings of International Conference on User Modeling, Workshop on User Modeling, Information Retrieval and Machine Learning., 1900-01-01.

[img]
Preview
PDF (A_connectionist_model_of_navigation.pdf)
Download (113Kb) | Preview

    Abstract

    This paper proposes the use of neural networks as a tool for studying navigation within virtual worlds. Results indicate that network learned to predict the next step for a given trajectory, acquiring also basic spatial knowledge in terms of landmarks and configuration of spatial layout. In addition, the network built a spatial representation of the virtual world, e.g. cognitive-like map, which preserves the topology but lacks metric accuracy. The benefits of this approach and the possibility of extending the methodology to the study of navigation in Human Computer Interaction are discussed.

    Item Type: Conference or Workshop Item (Paper)
    Journal or Publication Title: Proceedings of International Conference on User Modeling, Workshop on User Modeling, Information Retrieval and Machine Learning.
    Uncontrolled Keywords: cs_eprint_id ; 2108 cs_uid ; 391
    Subjects: Q Science > Q Science (General)
    Departments: Faculty of Science and Technology > School of Computing & Communications
    ID Code: 42340
    Deposited By: ep_importer_comp
    Deposited On: 11 Dec 2008 13:16
    Refereed?: Yes
    Published?: Published
    Last Modified: 27 Jul 2012 02:19
    Identification Number:
    URI: http://eprints.lancs.ac.uk/id/eprint/42340

    Actions (login required)

    View Item