Amplitude and Temporal Dynamics of Motion Sickness Dataset

doi: 10.4121/18133973.v1
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/18133973
Datacite citation style:
Kotian, Varun; Irmak, Tugrul; R. (Riender) Happee; Ksander N de Winkel; Daan Pool (2022): Amplitude and Temporal Dynamics of Motion Sickness Dataset. Version 1. 4TU.ResearchData. dataset.
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
The relationship between the amplitude of motion and the accumulation of motion sickness in time is unclear. Here, we investigated this relationship at the individual and group level. 17 participants were exposed to four oscillatory motion stimuli, in four separate sessions, separated by at least one week to prevent habituation. Motion amplitude was varied between sessions at either 1, 1.5, 2 or 2.5 ms-2. Time evolution was evaluated within sessions applying: an initial motion phase for up to 60 minutes, a 10-minute rest, a second motion phase up to 30 minutes to quantify hypersensitivity and lastly, a 5-minute rest.

Experiment data includes MISC, MSSQ, magnitude estimates of discomfort and Verbal Quantifiers along with the ages and biological genders of the participants. the structure of the data can be found in the README.txt file. The method of data collection and type of data can be found in the linked journal paper(DOI: 10.3389/fnsys.2022.866503)
  • 2022-04-04 first online, published, posted
Matlab files
associated peer-reviewed publication
Amplitude and Temporal Dynamics of Motion Sickness
TU Delft, Faculty of Mechanical, Maritime and Materials Engineering, Department of Cognitive Robotics, Intelligent Vehicles group


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