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.

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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 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:
Contribution to Conference (Paper)
Journal or Publication Title:
Proceedings of International Conference on User Modeling, Workshop on User Modeling, Information Retrieval and Machine Learning.
Uncontrolled Keywords:
/dk/atira/pure/researchoutput/libraryofcongress/q1
Subjects:
ID Code:
42340
Deposited By:
Deposited On:
11 Dec 2008 13:16
Refereed?:
Yes
Published?:
Published
Last Modified:
06 Aug 2020 00:07