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Related Experiment Video

Updated: May 24, 2025

How to Study Placebo Responses in Motion Sickness with a Rotation Chair Paradigm in Healthy Participants
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How to Study Placebo Responses in Motion Sickness with a Rotation Chair Paradigm in Healthy Participants

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Visually induced motion sickness correlates with on-road car sickness while performing a visual task.

Tugrul Irmak1,2, Ksander N de Winkel1,3, Riender Happee4

  • 1Faculty of Mechanical Engineering, Delft University of Technology, Cognitive Robotics, Delft, The Netherlands.

Experimental Brain Research
|March 3, 2025
PubMed
Summary
This summary is machine-generated.

Visually induced motion sickness predicts car sickness susceptibility. Combining virtual reality sickness tests with the Motion Sickness Susceptibility Questionnaire (MSSQ) offers a reliable prediction method.

Keywords:
DrivingIndividual variationsMotion sicknessSusceptibilityVIMSVestibularVirtual realityVisual

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Area of Science:

  • Human-Computer Interaction
  • Neuroscience
  • Transportation Engineering

Background:

  • The Motion Sickness Susceptibility Questionnaire (MSSQ) is often inadequate for predicting motion sickness in real-world driving scenarios.
  • Virtual reality (VR) offers a controlled environment to induce and study motion sickness.
  • Understanding individual susceptibility is crucial for mitigating motion sickness, especially in future automated vehicles.

Purpose of the Study:

  • To evaluate the efficacy of visually induced motion sickness (VIMS) using VR as a predictor of car sickness susceptibility.
  • To compare the predictive power of VIMS and the MSSQ under naturalistic driving conditions.
  • To explore the relationship between VIMS, car sickness, and MSSQ scores.

Main Methods:

  • Recruited 22 participants for a two-part experiment involving randomized VIMS and naturalistic car sickness testing.
  • VIMS was induced by sequential rotation and rolling of a VR visual scene.
  • Car sickness was elicited in a moving vehicle in Delft, with participants performing a laptop visual task.

Main Results:

  • Naturalistic driving involves low-frequency motion, impacting motion sickness modeling for automated vehicles.
  • Individual car sickness susceptibility positively correlated with VIMS.
  • Car sickness showed similar correlations with both VIMS and MSSQ scores, suggesting a common susceptibility factor.

Conclusions:

  • VIMS, particularly when combined with MSSQ, provides a reliable method for assessing individual motion sickness susceptibility.
  • The findings have implications for designing effective motion sickness mitigation strategies in vehicles.
  • Further research with larger samples and diverse visual conditions is recommended to refine this predictive method.