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Research output: Contribution to conference - Without ISBN/ISSN › Conference paper › peer-review
Research output: Contribution to conference - Without ISBN/ISSN › Conference paper › peer-review
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TY - CONF
T1 - A Connectionist Model of Spatial Knowledge Acquisition in a Virtual Environment
AU - Sas, Corina
AU - Reilly, R.
AU - O'Hare, G.M.P.
PY - 2003
Y1 - 2003
N2 - 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.
AB - 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.
KW - cs_eprint_id
KW - 2108 cs_uid
KW - 391
M3 - Conference paper
SP - 40
EP - 47
T2 - Proceedings of International Conference on User Modeling, Workshop on User Modeling, Information Retrieval and Machine Learning.
Y2 - 1 January 1900
ER -