Sas, Corina and O'Hare, Gregory and Reilly, Ronan (2005) Virtual environment trajectory analysis: a basis for navigational assistance and scene adaptivity. Future Generation Computer Systems, 21 (7). pp. 1157-1166. ISSN 0167-739X

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Abstract

This paper describes the analysis and clustering of motion trajectories obtained while users navigate within a virtual environment (VE). It presents a neural network simulation that produces a set of five clusters which help to differentiate users on the basis of efficient and inefficient navigational strategies. The accuracy of classification carried out with a self-organising map algorithm was tested and improved to in excess of 85% by using learning vector quantisation. This paper considers how such user classifications could be utilised in the delivery of intelligent navigational support and the dynamic reconfiguration of scenes within such VEs. We explore how such intelligent assistance and system adaptivity could be delivered within a Multi-Agent Systems (MAS) context.

Item Type:	Article
Keywords:	Spatial behaviour; Trajectory classification; Adaptive VEs;
Academic Unit:	Faculty of Science and Engineering > Computer Science
Item ID:	8210
Identification Number:	https://doi.org/10.1016/j.future.2004.04.003
Depositing User:	Prof. Ronan Reilly
Date Deposited:	15 May 2017 14:46
Journal or Publication Title:	Future Generation Computer Systems
Publisher:	Elsevier
Refereed:	Yes
URI:	http://www.sciencedirect.com
Use Licence:	This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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