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The Problem of Motion Sickness and Its Implications for Automated Driving

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User Experience Design in the Era of Automated Driving

Part of the book series: Studies in Computational Intelligence ((SCI,volume 980))

Abstract

Motion sickness impairs user experience and reduces engagement in non-driving related tasks in automated driving. The present chapter provides an overview on research on motion sickness and discusses strategies to prevent motion sickness in automated driving. First, we describe major theories on the emergence of MS, and introduce relevant research methods. Second, we provide a selective review on studies on motion sickness in driving. Here, we mainly focus on motion sickness in the context of automated driving but also describe relevant studies from research on non-automated driving. Based on the reviewed theoretical and empirical work, a final part discusses implications and derives recommendations on how motion sickness in automated driving can be effectively prevented.

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  1. Catholic University of Eichstätt-Ingolstadt, Ostenstraße 25, 85072, Eichstätt, Germany

    Lukas Kirst, Benjamin Ernst & Marco Steinhauser

  2. Klinikum Ingolstadt, Krumenauerstraße 25, 85049, Ingolstadt, Germany

    Alexander Kern

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    Andreas Riener

  2. Grado Department of Industrial and Systems Engineering, Virginia Tech, Blacksburg, VA, USA

    Myounghoon Jeon

  3. Systems and Software Research, Autonomous Driving Research Lab, Intel Labs, Portland, OR, USA

    Ignacio Alvarez

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Kirst, L., Ernst, B., Kern, A., Steinhauser, M. (2022). The Problem of Motion Sickness and Its Implications for Automated Driving. In: Riener, A., Jeon, M., Alvarez, I. (eds) User Experience Design in the Era of Automated Driving. Studies in Computational Intelligence, vol 980. Springer, Cham. https://doi.org/10.1007/978-3-030-77726-5_6

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