A hybrid model for capturing implicit spatial knowledge

Sas, Corina (2005) A hybrid model for capturing implicit spatial knowledge. In: TAMODIA '05 Proceedings of the 4th international workshop on Task models and diagrams. ACM, New York, pp. 49-54. ISBN 1595932208

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Abstract

This paper proposes a machine learning-based approach for capturing rules embedded in users’ movement paths while navigating in Virtual Environments (VEs). It is argued that this methodology and the set of navigational rules which it provides should be regarded as a starting point for designing adaptive VEs able to provide navigation support. This is a major contribution of this work, given that the up-to-date adaptivity for navigable VEs has been primarily delivered through the manipulation of navigational cues with little reference to the user model of navigation.

Item Type: Contribution in Book/Report/Proceedings
Uncontrolled Keywords: /dk/atira/pure/researchoutput/libraryofcongress/qa75
Subjects:
Departments: Faculty of Science and Technology > School of Computing & Communications
ID Code: 12714
Deposited By: ep_importer_comp
Deposited On: 30 Jul 2008 15:54
Refereed?: Yes
Published?: Published
Last Modified: 25 Jun 2019 00:45
URI: https://eprints.lancs.ac.uk/id/eprint/12714

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