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A Connectionist Model of Spatial Knowledge Acquisition in a Virtual Environment

Research output: Contribution to conference - Without ISBN/ISSN Conference paperpeer-review

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Standard

A Connectionist Model of Spatial Knowledge Acquisition in a Virtual Environment. / Sas, Corina; Reilly, R.; O'Hare, G.M.P.
2003. 40-47 Paper presented at Proceedings of International Conference on User Modeling, Workshop on User Modeling, Information Retrieval and Machine Learning..

Research output: Contribution to conference - Without ISBN/ISSN Conference paperpeer-review

Harvard

Sas, C, Reilly, R & O'Hare, GMP 2003, 'A Connectionist Model of Spatial Knowledge Acquisition in a Virtual Environment', Paper presented at Proceedings of International Conference on User Modeling, Workshop on User Modeling, Information Retrieval and Machine Learning., 1/01/00 pp. 40-47.

APA

Sas, C., Reilly, R., & O'Hare, G. M. P. (2003). A Connectionist Model of Spatial Knowledge Acquisition in a Virtual Environment. 40-47. Paper presented at Proceedings of International Conference on User Modeling, Workshop on User Modeling, Information Retrieval and Machine Learning..

Vancouver

Sas C, Reilly R, O'Hare GMP. A Connectionist Model of Spatial Knowledge Acquisition in a Virtual Environment. 2003. Paper presented at Proceedings of International Conference on User Modeling, Workshop on User Modeling, Information Retrieval and Machine Learning..

Author

Sas, Corina ; Reilly, R. ; O'Hare, G.M.P. / A Connectionist Model of Spatial Knowledge Acquisition in a Virtual Environment. Paper presented at Proceedings of International Conference on User Modeling, Workshop on User Modeling, Information Retrieval and Machine Learning..8 p.

Bibtex

@conference{c50ef17f7f1d41459f5387e1ea6cc43a,
title = "A Connectionist Model of Spatial Knowledge Acquisition in a Virtual Environment",
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.",
keywords = "cs_eprint_id, 2108 cs_uid, 391",
author = "Corina Sas and R. Reilly and G.M.P. O'Hare",
year = "2003",
language = "English",
pages = "40--47",
note = "Proceedings of International Conference on User Modeling, Workshop on User Modeling, Information Retrieval and Machine Learning. ; Conference date: 01-01-1900",

}

RIS

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 -