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Motion Scaling for High-Performance Driving Simulators

delete2013-05-01
delete45
PRE
AI
A
Alain Berthoz *
W
W. Bles
H
HH Bülthoff
B
Bruno Jorge Correia Grácio
P
P.J. Feenstra
N
N. Filliard
H
Huehne, R.
A
Andras Kemeny
M
Mi. Mayrhofer
M
Max Mulder
H
Hans-Günther Nusseck
P
Paolo Pretto
G
Gilles Reymond
S
Schluesselberger, R.
J
Johann Schwandtner
H
Harald Teufel
B
Benjamin Vailleau
M
M. M. van Paassen
M
Manuel Vidal
M
M. Wentink
DOI:10.1109/TSMC.2013.2242885delete
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Abstract

Abstract

En 中文
Advanced driving simulators aim at rendering the motion of a vehicle with maximum fidelity, which requires increased mechanical travel, size, and cost of the system. Motion cueing algorithms reduce the motion envelope by taking advantage of limitations in human motion perception, and the most commonly employed method is just to scale down the physical motion. However, little is known on the effects of motion scaling on motion perception and on actual driving performance. This paper presents the results of a European collaborative project, which explored different motion scale factors in a slalom driving task. Three state-of-the-art simulator systems were used, which were capable of generating displacements of several meters. The results of four comparable driving experiments, which were obtained with a total of 65 participants, indicate a preference for motion scale factors below 1, within a wide range of acceptable values (0.4-0.75). Very reduced or absent motion cues significantly degrade driving performance. Applications of this research are discussed for the design of motion systems and cueing algorithms for driving simulation.
Keywords:
Human factors
road vehicles
virtual reality
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Journal

IEEE Transactions on Human-Machine Systems cover
IEEE Transactions on Human-Machine Systems
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4.4
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college de france
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Korea University
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centre national de la recherche scientifique (cnrs)
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Netherlands Organization Applied Science Research
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Delft University of Technology
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