Spatial Navigation Assistance System for Large Virtual Environments: The Data Mining Approach

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Author(s): Mehmed Kantardzic (University of Louisville, USA), Pedram Sadeghian (University of Louisville, USA)and Walaa M. Sheta (Mubarak City for Scientific Research, Egypt)
Copyright: 2008
Pages: 17
Source title: Data Warehousing and Mining: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): John Wang (Montclair State University, USA)
DOI: 10.4018/978-1-59904-951-9.ch090

Keywords: Data Mining and Databases / Data Warehousing / Information Science Reference / Library & Information Science

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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 large virtual environments. However, efficient navigation within these environments remains problematic for novice users. Novice users often report being lost, disorientated, and lacking the spatial knowledge to make appropriate decisions concerning navigation tasks. In this chapter, we propose the Frequent Wayfinding-Sequence (FWS) methodology to mine the sequences representing the routes taken by experienced users of a virtual environment in order to derive informative navigation models. The models are used to build a navigation assistance interface. We conducted several experiments using our methodology in simulated virtual environments. The results indicate that our approach is efficient in extracting and formalizing recommend routes of travel from the navigation data of previous users of large virtual environments.

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Spatial Navigation Assistance System for Large Virtual Environments: The Data Mining Approach

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