Validating an Efficient Method to Quantify Motion Sickness
Johannes Gutenberg University Mainz
Abstract
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.
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
- FWCI
- 4.22
- Percentile
- 100%
- References
- 35
Authors
2Topics & keywords
- Motion sickness
- Computer science
- Motion (physics)
- Artificial intelligence
- Psychology