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International Journal of Human-Computer Studies
Volume 64, Issue 4, April 2006, Pages 356-374
 
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doi:10.1016/j.ijhcs.2005.08.014    How to Cite or Link Using DOI (Opens New Window)
Copyright © 2005 Elsevier Ltd All rights reserved.

The frequent wayfinding-sequence (FWS) methodology: Finding preferred routes in complex virtual environments

Pedram Sadeghiana, Corresponding Author Contact Information, E-mail The Corresponding Author, Mehmed Kantardzica, E-mail The Corresponding Author, Oleksandr Lozitskiya, E-mail The Corresponding Author and Walaa Shetab, E-mail The Corresponding Author

aCECS Department, University of Louisville, Louisville, KY, 40292 USA bInformatics Research Institute, Mubarak City for Scientific Research, Alexandria, Egypt

Received 29 November 2004; 
revised 21 July 2005; 
accepted 28 August 2005. 
Communicated by D. Boehm-Davis. 
Available online 10 October 2005.

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Abstract

Advances in computing techniques, as well as the reduction in the cost of technology, have made possible the viability and spread of complex virtual environments (VEs). However, efficient navigation within these environments remains problematic for the user. Several research projects have shown that users of VEs are often disoriented and have extreme difficulty completing navigational tasks. Furthermore, there is often more than one route to get to a specified destination. Novice users often lack the spatial knowledge needed to pick an appropriate route due to the deficiency of experience with the system. A number of navigation tools such as maps, 3-D thumbnails, trails, and personal agents have been proposed. The introduction of these tools have met with some degree of success, but most researchers agree that new techniques need to be developed to aid users efficiently navigate within complex VEs. In this paper, we propose the frequent wayfinding-sequence (FWS) methodology that uses a modified sequence mining technique to discover a model of routes taken by experienced users of a VE. The model is used to build an interface that provides navigation assistance to novice users by recommending routes. We conducted both real world and simulation experiments using our methodology. Results from the real world experiment suggest that the FWS approach has the potential to improve the user's navigation performance and the quality of the human-computer interaction. Our simulation studies showed that our approach is scalable, efficient, and able to find useful route models for complex VEs.

Keywords: Route recommendations; Wayfinding; Virtual environments; Sequence mining

Article Outline

1. Introduction
2. Related research
3. Navigation assistance in complex virtual environments
3.1. Recommended routes in complex virtual environments
3.2. Overview of the FWS methodology
4. W-Sequences
5. Frequent W-sequence methodology
5.1. Transforming coordinates into W-sequences
5.2. Pruning the W-sequences
5.3. Mining for W-sequences
5.4. Discovering the model of frequent W-sequences
5.5. Districting
5.6. Recommendation of a route
5.7. FWS methodology implementation in open virtual spaces
6. Experiments and discussion
6.1. Real world experiment
6.2. Simulation experiments
7. Conclusions
Acknowledgements
References













 
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