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Psychophysiological Predictors of Motion Sickness in the Driving Simulator

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Advances in Simulation and Digital Human Modeling (AHFE 2020)

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Abstract

Experiment on the psychophysiological monitoring of the driver state in the semi-automated vehicles resulted in eight participants suffering from motion sickness. None of them experienced it before in the car nor during any encounter with the virtual reality, as it was one of the exclusion criteria. Their physiological recordings were compared with the psychophysiology of matched participants who did not experience the symptoms. Participants who developed the symptoms were significantly sleepier, slept fewer hours before the experiment, and had a lower breathing rate before the experiment and higher standard deviation of breath during the training drive.

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Acknowledgements

This work was supported by Jaguar Land Rover and the UK-EPSRC grant EP/N011899/1 as part of the jointly funded Towards Autonomy: Smart and Connected Control (TASCC) Programme.

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Correspondence to Sylwia I. Kaduk .

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Kaduk, S.I., Roberts, A.P., Stanton, N.A. (2021). Psychophysiological Predictors of Motion Sickness in the Driving Simulator. In: Cassenti, D., Scataglini, S., Rajulu, S., Wright, J. (eds) Advances in Simulation and Digital Human Modeling. AHFE 2020. Advances in Intelligent Systems and Computing, vol 1206. Springer, Cham. https://doi.org/10.1007/978-3-030-51064-0_14

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