Continuous Subjective Rating of Perceived Motion Incongruence During Driving Simulation

Journal Article (2018)
Author(s)

Diane Cleij (TU Delft - Aerospace Engineering)

Joost Venrooij (Max Planck Institute for Biological Cybernetics, TU Delft - Aerospace Engineering)

Paolo Pretto (Max Planck Institute for Biological Cybernetics)

Daan M. Pool (TU Delft - Aerospace Engineering)

M. Mulder (TU Delft - Aerospace Engineering, TU Delft - Aerospace Engineering)

Heinrich H. Bulthoff (Max Planck Institute for Biological Cybernetics)

Research Group
Control & Simulation
DOI related publication
https://doi.org/10.1109/THMS.2017.2717884 Final published version
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Publication Year
2018
Language
English
Research Group
Control & Simulation
Journal title
IEEE Transactions on Human-Machine Systems
Issue number
1
Volume number
48
Pages (from-to)
17 - 29
Downloads counter
338
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Institutional Repository
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Abstract

Motion cueing algorithms are used in motion simulation to map the inertial vehicle motion onto the limited simulator motion space. This mapping causes mismatches between the unrestricted visual motion and the constrained inertial motion, which results in perceived motion incongruence (PMI). It is still largely unknown what exactly causes visual and inertial motion in a simulator to be perceived as incongruent. Current methods for measuring motion incongruence during motion simulation result in time-invariant measures of the overall incongruence, which makes it difficult to determine the relevance of the individual and short-duration mismatches between visual and inertial motion cues. In this paper, a novel method is presented to subjectively measure the time-varying PMI continuously throughout a simulation. The method is analyzed for reliability and validity of its measurements, as well as for its applicability in relating physical short-duration cueing errors to PMI. The analysis shows that the method is reliable and that the results can be used to obtain a deeper insight into the formation of motion incongruence during driving simulation.