Validating an Efficient Method to Quantify Motion Sickness

Johannes Gutenberg University Mainz

PubMed
Indexed incrossrefpubmed

Abstract

Objective

Motion sickness (MS) can be a debilitating side effect associated with motion in real or virtual environments. We analyzed the effect of expectancy on MS and propose and validate a fast and simple MS measure.

Background

Several questionnaires measure MS before or after stimulus presentation, but no satisfactory tool has been established to quickly capture MS data during exposure. To fill this gap, we introduce the Fast MS Scale (FMS), a verbal rating scale ranging from zero (no sickness at all) to 20 (frank sickness). Also, little is known about the role of expectancy effects in MS studies. We conducted an experiment that addressed this issue. METHOD: For this study, 126 volunteers participated in two experiments. During stimulus presentation, participants had to verbally rate the severity of MS every minute before filling in the Simulator Sickness Questionnaire (SSQ). To measure expectancy effects, participants were separated into three groups with either positive, negative, or neutral expectations.

Citation impact

610
total citations
FWCI
4.22
Percentile
100%
References
35
Citations per year

Authors

2

Topics & keywords

Keywords
  • Motion sickness
  • Computer science
  • Motion (physics)
  • Artificial intelligence
  • Psychology
No related works found for this paper.

Funding