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A typology of course of motion in simulated environments based on Bézier curve analysis

Sas, Corina and Schmidt, Nikita (2007) A typology of course of motion in simulated environments based on Bézier curve analysis. Knowledge and Information Systems (KAIS), 13 (2). pp. 173-196. ISSN 0219-1377

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Abstract

This paper proposes a novel method of analysing trajectories followed by people while they perform navigational tasks. The results indicate that modelling trajectories with Bézier curves provides a basis for the diagnosis of navigational patterns. The method offers five indicators: goodness of fit, average curvature, number of inflexion points, lengths of straight line segments, and area covered. Study results, obtained in a virtual environment show that these indicators carry important information about user performance, specifically spatial knowledge acquisition.

Item Type: Article
Journal or Publication Title: Knowledge and Information Systems (KAIS)
Additional Information: This paper is the first to explore the interplay between spatial behaviour and trajectory analysis. It consists of a novel method of analysing trajectories followed by people during navigational tasks, and the findings suggest that modelling trajectories with B'zier curves provides a basis for the diagnosis of navigational patterns. This paper in the KAIS journal is an extended version of the one presented at a workshop at the International Conference on Multimodal Interfaces 2005 (acceptance rate 35%). RAE_import_type : Journal article RAE_uoa_type : Computer Science and Informatics
Uncontrolled Keywords: Bézier curve ; Trajectory modelling ; Virtual environment ; Spatial knowledge ; Navigation ; Human factors
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Departments: Faculty of Science and Technology > School of Computing & Communications
ID Code: 2578
Deposited By: ep_importer
Deposited On: 28 Mar 2008 14:32
Refereed?: Yes
Published?: Published
Last Modified: 05 Mar 2014 13:34
Identification Number:
URI: http://eprints.lancs.ac.uk/id/eprint/2578

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