What Can User Typologies Tell Us about Carsickness Criticality in
                    Future Mobility Systems

Brietzke, Adrian; Kantusch, Timmy; Xuan, Rebecca Pham; Dettmann, André; Marker, Stefanie; Bullinger, Angelika C.

doi:10.4271/12-05-02-0012

Cited by 3 publications

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“…Self-driving vehicles as characterized by the International Society of Automotive Engineers (SAE International 2014 ), provide an opportunity for former drivers to be relieved of responsibilities, such as steering the vehicle or monitoring the environment. Customers want to use their travel time to eat, sleep, or watch movies (Kyriakidis et al 2015 ), but the user group of potential early adopters of self-driving vehicles has an increased likelihood of experiencing common symptoms of motion sickness (Brietzke et al 2022 ), especially when considering some of the desired activities. Detailed knowledge of the physiology underlying motion sickness is a prerequisite for defining effective non-pharmacological countermeasures against motion sickness.…”

Section: Introductionmentioning

confidence: 99%

Assessment of vestibulo-ocular reflex and its adaptation during stop-and-go car rides in motion sickness susceptible passengers

et al. 2023

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Motion sickness is a physiological condition that negatively impacts a person's comfort and will be an emerging condition in autonomous vehicles without proper countermeasures. The vestibular system plays a key role in the origin of motion sickness. Understanding the susceptibility and (mal) adaptive mechanisms of the highly integrated vestibular system is a prerequisite for the development of countermeasures. We hypothesize a differential association between motion sickness and vestibular function in healthy individuals with and without susceptibility for motion sickness. We quantified vestibular function by measuring the high-frequency vestibulo-ocular reflex (VOR) using video head impulse testing (vHIT) in 17 healthy volunteers before and after a 11 min motion sickness-inducing naturalistic stop-and-go car ride on a test track (Dekra Test Oval, Klettwitz, Germany). The cohort was classified as motion sickness susceptible (n = 11) and non-susceptible (n = 6). Six (out of 11) susceptible participants developed nausea symptoms, while a total of nine participants were free of these symptoms. The VOR gain (1) did not differ significantly between participant groups with (n = 8) and without motion sickness symptoms (n = 9), (2) did not differ significantly in the factor time before and after the car ride, and showed no interaction between symptom groups and time, as indicated by a repeated measures ANOVA (F(1,15) = 2.19, p = 0.16. Bayesian inference confirmed that there was “anecdotal evidence” for equality of gain rather than difference across groups and time (BF10 < 0.77). Our results suggest that individual differences in VOR measures or adaptation to motion sickness provocative stimuli during naturalistic stop-and-go driving cannot predict motion sickness susceptibility or the likelihood of developing motion sickness.

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Section: Introductionmentioning

confidence: 99%

Assessment of vestibulo-ocular reflex and its adaptation during stop-and-go car rides in motion sickness susceptible passengers

et al. 2023

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Activities that Correlate with Motion Sickness in Driving Cars – An International Online Survey

Diederichs,

Herrmanns,

Lerch

et al. 2024

Lecture Notes in Computer Science

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A review on motion sickness of autonomous driving vehicles

Fu,

Wu,

Liu

et al. 2024

J. vibroeng.

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The objective of this study is to investigate the symptoms, types, etiology, and assessment methods of motion sickness in autonomous vehicles in order to gain a comprehensive understanding of its occurrence mechanism and emphasize the significance of enhancing autonomous vehicle algorithms for improved ride comfort. Thus, this paper provides a synthesis and discussion of various theories while exploring strategies for mitigating motion sickness from three perspectives: passengers, vehicles, and external equipment. Firstly, it summarizes the clinical manifestations and classification of motion sickness while conducting an in-depth analysis of associated factors. Secondly, it evaluates different approaches for quantitatively measuring the severity and extent of motion sickness. Subsequently, it analyzes the reasons behind increased motion sickness caused by autonomous vehicles and emphasizes the importance of algorithmic improvements to enhance travel comfort. Finally, mitigation strategies are proposed considering passengers' needs as well as advancements in accurate motion prediction models and optimization techniques for autonomous planning and control algorithms that can effectively reduce the risk of motion sickness. As application scenarios for autonomous technology continue to expand, meeting user requirements while ensuring safety has become a benchmark for assessing technical proficiency. Therefore, promoting unmanned travel services necessitates a thorough analysis of existing issues related to autonomous technology along with prioritizing algorithm design enhancements through effective means to achieve an enhanced user experience.

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What Can User Typologies Tell Us about Carsickness Criticality in Future Mobility Systems

Cited by 3 publications

References 0 publications

Assessment of vestibulo-ocular reflex and its adaptation during stop-and-go car rides in motion sickness susceptible passengers

Assessment of vestibulo-ocular reflex and its adaptation during stop-and-go car rides in motion sickness susceptible passengers

Activities that Correlate with Motion Sickness in Driving Cars – An International Online Survey

A review on motion sickness of autonomous driving vehicles

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