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

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A typology of course of motion in simulated environments based on Bézier curve analysis. / Sas, Corina; Schmidt, Nikita.
In: Knowledge and Information Systems , Vol. 13, No. 2, 10.2007, p. 173-196.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

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Sas C, Schmidt N. A typology of course of motion in simulated environments based on Bézier curve analysis. Knowledge and Information Systems . 2007 Oct;13(2):173-196. doi: 10.1007/s10115-007-0065-7

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Sas, Corina ; Schmidt, Nikita. / A typology of course of motion in simulated environments based on Bézier curve analysis. In: Knowledge and Information Systems . 2007 ; Vol. 13, No. 2. pp. 173-196.

Bibtex

@article{fbb2a83417d94ba2b7cb5b83750b6b6c,
title = "A typology of course of motion in simulated environments based on B{\'e}zier curve analysis",
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 B{\'e}zier 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.",
keywords = "B{\'e}zier curve , Trajectory modelling , Virtual environment , Spatial knowledge, Navigation, Human factors",
author = "Corina Sas and Nikita Schmidt",
note = "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",
year = "2007",
month = oct,
doi = "10.1007/s10115-007-0065-7",
language = "English",
volume = "13",
pages = "173--196",
journal = "Knowledge and Information Systems ",
issn = "0219-1377",
publisher = "Springer London",
number = "2",

}

RIS

TY - JOUR

T1 - A typology of course of motion in simulated environments based on Bézier curve analysis

AU - Sas, Corina

AU - Schmidt, Nikita

N1 - 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

PY - 2007/10

Y1 - 2007/10

N2 - 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.

AB - 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.

KW - Bézier curve

KW - Trajectory modelling

KW - Virtual environment

KW - Spatial knowledge

KW - Navigation

KW - Human factors

U2 - 10.1007/s10115-007-0065-7

DO - 10.1007/s10115-007-0065-7

M3 - Journal article

VL - 13

SP - 173

EP - 196

JO - Knowledge and Information Systems

JF - Knowledge and Information Systems

SN - 0219-1377

IS - 2

ER -