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Self-motion Perception and Cybersickness

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Getting Rid of Cybersickness

Abstract

Understanding self-motion perception is essential to design and apply countermeasures against cybersickness. This section provides introductory knowledge of motion perception, carried out by our visual systems and vestibular as well as kinesthetic organs. Vection and optic flow give elementary sensations of motion, but a partial or incorrect integration of all the necessary sensorial information gives rise to motion sickness. The main theories explaining motion sickness and the various factors affecting its effects are shortly presented with the most essential information on the underlying mechanisms and the necessary details on their links with motion perception in virtual worlds and the potential motion and VR induced sickness effects. Since motion sickness is one of the most observed origins of cybersickness when moving in the virtual world using virtual navigation tools, this section gives essential information on its effects as well as the age, gender, or social parameters that influence it. Finally, the technological parameters, affecting motion and VR induced sickness effects, are shortly introduced, allowing for a comprehensive understanding of the visual and motion rendering systems. The latter are described in the following chapter.

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Notes

  1. 1.

    At rest, the ganglion cells emit action potentials at a base frequency through their axons. This is called the tonic discharge. When they are excited, the frequency of emission of their action potentials increases. On the contrary, when they are inhibited, the frequency of emission of their action potentials decreases.

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Correspondence to Andras Kemeny .

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Kemeny, A., Chardonnet, JR., Colombet, F. (2020). Self-motion Perception and Cybersickness. In: Getting Rid of Cybersickness. Springer, Cham. https://doi.org/10.1007/978-3-030-59342-1_2

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  • DOI: https://doi.org/10.1007/978-3-030-59342-1_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-59341-4

  • Online ISBN: 978-3-030-59342-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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