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Related Experiment Video

Updated: May 29, 2026

How to Study Placebo Responses in Motion Sickness with a Rotation Chair Paradigm in Healthy Participants
08:50

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Published on: December 14, 2014

Validating an efficient method to quantify motion sickness.

Behrang Keshavarz1, Heiko Hecht

  • 1Department of Experimental Psychology, Johannes Gutenberg-Universität Mainz, Germany. behrang.keshavarz@uni-mainz.de

Human Factors
|September 10, 2011
PubMed
Summary
This summary is machine-generated.

The Fast Motion Sickness (FMS) Scale effectively measures motion sickness in real-time. Expectancy did not significantly impact motion sickness levels in this study.

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Area of Science:

  • Human-Computer Interaction
  • Virtual Reality Safety
  • Psychophysiology

Background:

  • Motion sickness (MS) is a common issue in real and virtual environments.
  • Existing MS questionnaires are often administered post-exposure, limiting real-time data collection.
  • The role of expectancy in MS remains underexplored.

Purpose of the Study:

  • To introduce and validate the Fast Motion Sickness (FMS) Scale, a rapid verbal rating system for MS.
  • To investigate the influence of expectancy on MS severity.
  • To assess the correlation between real-time FMS ratings and established post-exposure questionnaires.

Main Methods:

  • 126 volunteers participated in two experiments involving simulated motion.
  • Participants verbally rated MS severity every minute using the FMS scale during stimulus presentation.
  • Participants were assigned to positive, negative, or neutral expectancy groups.

Main Results:

  • High correlations were observed between FMS verbal ratings and the Simulator Sickness Questionnaire (SSQ) total score (r = .785) and nausea subscore (r = .828).
  • No significant expectancy effects on MS were detected.
  • The FMS scale demonstrated strong validity when compared to the SSQ.

Conclusions:

  • The FMS scale is a fast, valid, and efficient tool for online MS measurement during stimulus exposure.
  • The FMS scale allows for the capture of MS time-course data.
  • Expectancy does not appear to be a critical factor in MS, though the FMS has limitations.