Searched for: author:"Pretto, P."
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de Winkel, K.N. (author), Pretto, P. (author), Nooij, S.A.E. (author), Cohen, I. (author), Bülthoff, H.H. (author)
The risk of motion sickness is considerably higher in autonomous vehicles than it is in human-operated vehicles. Their introduction will therefore require systems that mitigate motion sickness. We investigated whether this can be achieved by augmenting the vehicle interior with additional visualizations. Participants were immersed in motion...
article 2020
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Berthoz, A. (author), Bles, W. (author), Bülthoff, H.H. (author), Correia Grácio, B.J. (author), Feenstra, P. (author), Filliard, N. (author), Hühne, R. (author), Kemeny, A. (author), Mayrhofer, M. (author), Mulder, M. (author), Nusseck, H.G. (author), Pretto, P. (author), Reymond, G. (author), Schlüsselberger, R. (author), Schwandtner, J. (author), Teufel, H. (author), Vailleau, B. (author), van Paassen, M.M.R. (author), Vidal, M. (author), Wentink, M. (author)
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...
article 2013