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Conference Paper

Continuous rating of perceived visual-inertial motion incoherence during driving simulation

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Cleij,  D
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Venrooij,  J
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Pretto,  P
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Pool,  DM
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Bülthoff,  HH
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Citation

Cleij, D., Venrooij, J., Pretto, P., Pool, D., Mulder, M., & Bülthoff, H. (2015). Continuous rating of perceived visual-inertial motion incoherence during driving simulation. In H. H. Bülthoff, H.H., A. Kemeny, & P. Pretto (Eds.), DSC 2015 Europe: Driving Simulation Conference & Exhibition (pp. 191-198). Tübingen, Germany: Max Planck Institute for Biological Cybernetics.


Cite as: http://hdl.handle.net/11858/00-001M-0000-002A-44B8-E
Abstract
Motion cueing algorithms (MCA) are used in motion simulation to map the inertial vehicle motions onto the simulator motion space. To increase fidelity of the motion simulation, these MCAs are tuned to minimize the perceived incoherence between the visual and inertial motion cues. Despite time-invariant MCA dynamics the incoherence is not constant, but changes over time. Currently used methods to measure the quality of an MCA focus on the overall differences between MCAs, but lack the ability to detect how quality varies over time and how this influences the overall quality judgement. This paper describes a continuous subjective rating method with which perceived motion incoherence can be detected over time. An experiment was performed to show the suitability of this method for measuring motion incoherence. The experiment results were used to validate the continuous rating method and showed it provides important additional information on the perceived motion incoherence during a simulation compared to an offline rating method.