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Simulator sickness depends on frequency of the simulator motion mismatch: An observation

Authors:

Jelte E. BosAuthors Info & Claims

Presence: Teleoperators and Virtual Environments, Volume 17, Issue 6

Pages 584 - 593

https://doi.org/10.1162/pres.17.6.584

Published: 01 December 2008 Publication History

Abstract

In this study we describe a new approach to relate simulator sickness ratings with the main frequency component of the simulator motion mismatch, that is, the computed difference between the time histories of simulator motion and vehicle motion, respectively. During two driving simulator experiments in the TNO moving-base driving simulator---that were performed for other reasons than the purpose of this study---we collected simulator sickness questionnaires from in total 58 subjects. The main frequency component was computed by means of the power spectrum density of the computed mismatch signal. We hypothesized that simulator sickness incidence depends on this frequency component, in a similar way as the incidence of “real” motion sickness, such as sea sickness, depends on motion frequency. The results show that the simulator sickness ratings differed between both driving simulator experiments. The experiment with its main frequency component of the mismatch signal of 0.08 Hz had significantly higher simulator sickness incidence than the experiment with its main frequency at 0.46 Hz. Since the experimental design differed between both experiments, we cannot exclusively attribute the difference in sickness ratings to the frequency component, but the observation does suggest that quantitative analysis of the mismatch between the motion profiles of the simulator and the vehicle may greatly improve our understanding of the causal mechanism of simulator sickness.

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Cited By

Reichl LKocur M(2024)Investigating the Impact of Odors and Visual Congruence on Motion Sickness in Virtual RealityProceedings of the 30th ACM Symposium on Virtual Reality Software and Technology10.1145/3641825.3687731(1-12)Online publication date: 9-Oct-2024
https://dl.acm.org/doi/10.1145/3641825.3687731
Wu YKim E(2022)Users’ Perceptions of Technological Features in Augmented Reality (AR) and Virtual Reality (VR) in Fashion RetailingMobile Information Systems10.1155/2022/30802802022Online publication date: 1-Jan-2022
https://dl.acm.org/doi/10.1155/2022/3080280
Ranasinghe NJain PTolley DKarwita Tailan SYen CDo E(2020)Exploring the Use of Olfactory Stimuli Towards Reducing Visually Induced Motion Sickness in Virtual RealityProceedings of the 2020 ACM Symposium on Spatial User Interaction10.1145/3385959.3418451(1-9)Online publication date: 31-Oct-2020
https://dl.acm.org/doi/10.1145/3385959.3418451
Show More Cited By

Index Terms

Simulator sickness depends on frequency of the simulator motion mismatch: An observation
1. Applied computing
2. Computing methodologies
  1. Modeling and simulation
    1. Model development and analysis
      1. Model verification and validation
      2. Modeling methodologies
    2. Simulation support systems
      1. Simulation environments

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Published In

cover image Presence: Teleoperators and Virtual Environments

Presence: Teleoperators and Virtual Environments Volume 17, Issue 6

December 2008

70 pages

ISSN:1054-7460

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MIT Press

Cambridge, MA, United States

Publication History

Published: 01 December 2008

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Cited By

Reichl LKocur M(2024)Investigating the Impact of Odors and Visual Congruence on Motion Sickness in Virtual RealityProceedings of the 30th ACM Symposium on Virtual Reality Software and Technology10.1145/3641825.3687731(1-12)Online publication date: 9-Oct-2024
https://dl.acm.org/doi/10.1145/3641825.3687731
Wu YKim E(2022)Users’ Perceptions of Technological Features in Augmented Reality (AR) and Virtual Reality (VR) in Fashion RetailingMobile Information Systems10.1155/2022/30802802022Online publication date: 1-Jan-2022
https://dl.acm.org/doi/10.1155/2022/3080280
Ranasinghe NJain PTolley DKarwita Tailan SYen CDo E(2020)Exploring the Use of Olfactory Stimuli Towards Reducing Visually Induced Motion Sickness in Virtual RealityProceedings of the 2020 ACM Symposium on Spatial User Interaction10.1145/3385959.3418451(1-9)Online publication date: 31-Oct-2020
https://dl.acm.org/doi/10.1145/3385959.3418451
Liu ZYu GLin JGu TGuo Q(2020)Using Guided Cognitive Illusions to Compensate for the Motion Limits of 4D SeatsEngineering Psychology and Cognitive Ergonomics. Mental Workload, Human Physiology, and Human Energy10.1007/978-3-030-49044-7_17(190-203)Online publication date: 19-Jul-2020
https://dl.acm.org/doi/10.1007/978-3-030-49044-7_17
Kim HLim HLee SRo Y(2019)VRSA Net: VR Sickness Assessment Considering Exceptional Motion for 360° VR VideoIEEE Transactions on Image Processing10.1109/TIP.2018.288050928:4(1646-1660)Online publication date: 1-Apr-2019
https://dl.acm.org/doi/10.1109/TIP.2018.2880509
Kolkmeier JHarmsen EGiesselink SReidsma DTheune MHeylen DMorishima SItoh YShiratori TYue YLindeman R(2018)With a little help from a holographic friendProceedings of the 24th ACM Symposium on Virtual Reality Software and Technology10.1145/3281505.3281542(1-11)Online publication date: 28-Nov-2018
https://dl.acm.org/doi/10.1145/3281505.3281542
Kim HBaddar WLim HJeong HRo YFjeld MFratarcangeli MSjölie DStaadt OUnger J(2017)Measurement of exceptional motion in VR video contents for VR sickness assessment using deep convolutional autoencoderProceedings of the 23rd ACM Symposium on Virtual Reality Software and Technology10.1145/3139131.3139137(1-7)Online publication date: 8-Nov-2017
https://dl.acm.org/doi/10.1145/3139131.3139137

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