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  Continuous Subjective Rating of Perceived Motion Incongruence During Driving Simulation

Cleij, D., Venrooij, J., Pretto, P., Pool, D., Mulder, M., & Bülthoff, H. (2018). Continuous Subjective Rating of Perceived Motion Incongruence During Driving Simulation. IEEE Transactions on Human-Machine Systems, 48(1), 17-29. doi:10.1109/THMS.2017.2717884.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0001-7D08-B Version Permalink: http://hdl.handle.net/21.11116/0000-0001-807C-3
Genre: Journal Article

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Cleij, D1, 2, 3, Author              
Venrooij, J1, 3, Author              
Pretto, P1, 2, 3, Author              
Pool, DM, Author              
Mulder, M, Author
Bülthoff, HH1, 3, 4, Author              
Affiliations:
1Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497794              
2Project group: Motion Perception & Simulation, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_2528705              
3Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497797              
4Project group: Cybernetics Approach to Perception & Action, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_2528701              

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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.

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 Dates: 2018-02
 Publication Status: Published in print
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 Identifiers: DOI: 10.1109/THMS.2017.2717884
BibTex Citekey: CleijVPPMB2017
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Title: IEEE Transactions on Human-Machine Systems
Source Genre: Journal
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Pages: - Volume / Issue: 48 (1) Sequence Number: - Start / End Page: 17 - 29 Identifier: -