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Psychophysiological Predictors of Motion Sickness in the Driving Simulator

Conference paper
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Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1206)

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.

Keywords

Motion sickness Driving simulator Psychophysiology Breath Respiration Karolinska Sleepiness Scale Sleep deprivation Sleepiness 

Notes

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.

References

  1. 1.
    Lackner, J.R.: Motion sickness: more than nausea and vomiting. Exp. Brain Res. 232, 2493–2510 (2014).  https://doi.org/10.1007/s00221-014-4008-8CrossRefGoogle Scholar
  2. 2.
    Kennedy, R.S., Drexler, J., Kennedy, R.C.: Research in visually induced motion sickness. Appl. Ergon. 41, 494–503 (2010).  https://doi.org/10.1016/j.apergo.2009.11.006CrossRefGoogle Scholar
  3. 3.
    Hutton, C., Ziccardi, S., Medina, J., Rosenbarg, E.S.: Please don’t puke: early detection of severe motion sickness in VR. In: 25th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2018–Proceedings, pp. 579–580 (2018).  https://doi.org/10.1109/VR.2018.8446382
  4. 4.
    Meissner, K., Enck, P., Muth, E.R., Kellermann, S., Klosterhalfen, S.: Cortisol levels predict motion sickness tolerance in women but not in men. Physiol. Behav. 97, 102–106 (2009).  https://doi.org/10.1016/j.physbeh.2009.02.007CrossRefGoogle Scholar
  5. 5.
    Akerstedt, T., Gillberg, M.: Subjective and objective sleepiness in the active individual. Int. J. Neurosci. 52, 29–37 (1990)CrossRefGoogle Scholar
  6. 6.
    Akerstedt, T., Anund, A., Axelsson, J., Kecklund, G.: Subjective sleepiness is a sensitive indicator of insufficient sleep and impaired waking function. J. Sleep Res. 23, 242–254 (2014)CrossRefGoogle Scholar
  7. 7.
    Hart, S.G., Staveland, L.E.: Development of NASA-TLX (Task Load Index): results of empirical and theoretical research. In: Advances in Psychology, pp. 139–183. Elsevier (1988)Google Scholar
  8. 8.
    Samn, S.W., Perelli, L.P.: Estimating aircrew fatigue: a technique with application to airlift operations. School of Aerospace Medicine Brooks Afb tx (1982)Google Scholar
  9. 9.
    Sang, Y.P., Fleur, D., Golding, J.F., Gresty, M.A.: Suppression of sickness by controlled breathing during mildly nauseogenic motion. Aviat. Space Environ. Med. 74, 998–1002 (2003)Google Scholar

Copyright information

© The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021

Authors and Affiliations

  1. 1.Human Factors Engineering, Transportation Research Group, Faculty of Engineering and Physical SciencesUniversity of SouthamptonSouthamptonUK

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