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Published on: February 7, 2020
Amplitude and Temporal Dynamics of Motion Sickness
Tugrul Irmak1, Varun Kotian1, Riender Happee1
1Cognitive Robotics Department, Delft University of Technology, Delft, Netherlands.
Motion sickness severity increases with motion amplitude. Sickness progression over time, modeled by the Oman model, showed individual variations but was independent of motion amplitude, impacting predictive accuracy.
Area of Science:
- Human physiology
- Biomechanics
- Human-computer interaction
Background:
- The relationship between motion amplitude and motion sickness accumulation over time is not well understood.
- Individual differences in motion sickness susceptibility are significant.
Purpose of the Study:
- To investigate the relationship between motion amplitude and motion sickness severity at individual and group levels.
- To analyze the temporal evolution of motion sickness using variations of the Oman model.
- To assess the impact of individual sickness dynamics on the accuracy of sickness forecasting models.
Main Methods:
- Seventeen participants were exposed to four different motion amplitudes (1, 1.5, 2, 2.5 ms⁻²).
- A multi-phase protocol including motion exposure, rest, and hypersensitivity testing was used.
- Three variations of the Oman model, including a modified power-law scaling, were applied to analyze sickness evolution.
Main Results:
- Motion sickness severity (MISC) demonstrated a linear increase with acceleration amplitude at both individual and group levels.
- The slow and fast time constants of motion sickness were independent of motion amplitude but showed substantial inter-individual variability.
- An adapted Oman model with a power-law exponent of 0.4 provided a superior fit to the data compared to the original exponent of 2.
- Forecasting accuracy of the Oman model was significantly influenced by individual sickness dynamics (divergent vs. convergent).
Conclusions:
- Motion sickness severity is directly proportional to motion amplitude.
- Individual variability in sickness time constants is a key factor in motion sickness progression.
- The modified Oman model offers improved prediction of motion sickness.
- Findings have implications for participant screening and real-time adaptation of automated vehicle systems.
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