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  Motion scaling for high-performance driving simulators

Berthoz, A., Bles, W., Bülthoff, H. H., Correia Gracio, B., Feenstra, P., Filliard, N., et al. (2013). Motion scaling for high-performance driving simulators. IEEE Transactions on Human-Machine Systems, 43(3), 265-276. doi:10.1109/TSMC.2013.2242885.

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Berthoz, A, Author
Bles, W, Author
Bülthoff, Heinrich H1, 2, Author           
Correia Gracio, BJ, Author
Feenstra, P, Author
Filliard, N, Author
Hühne , R, Author
Kemeny, A, Author
Mayrhofer, M, Author
Mulder, M, Author
Nusseck, H-G1, 2, Author           
Pretto, P1, 2, Author           
Reymond, G, Author
Schlüsselberger, R, Author
Schwandtner, J, Author
Teufel, Harald J1, 2, Author           
Vailleau, B, Author
van Paassen, MM, Author
Vidal, M, Author           
Wentink, M, Author
Affiliations:
1Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497797              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

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 Abstract: 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.

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 Dates: 2013-02
 Publication Status: Issued
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 Identifiers: BibTex Citekey: BerthozBBCFFHKMMNPRSSTVvVW2013
DOI: 10.1109/TSMC.2013.2242885
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Title: IEEE Transactions on Human-Machine Systems
Source Genre: Journal
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Pages: - Volume / Issue: 43 (3) Sequence Number: - Start / End Page: 265 - 276 Identifier: -