Influence of dynamic stimulation, visual perception and individual susceptibility to car sickness during controlled stop-and-go driving

Brietzke, Adrian; Xuan, Rebecca Pham; Dettmann, André; Bullinger, Angelika C.

doi:10.1007/s10010-021-00441-6

Cited by 12 publications

(5 citation statements)

References 24 publications

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“…This result illustrates that although APMVs are driven at a lower speed than vehicles, their passengers also have a high risk of motion sickness when it frequently avoids obstacles or other pedestrians. However, many other studies have reported that passengers are prone to motion sickness when using cars [40], [41], [42]. or other vehicles, such as vessels [43], [44], and aircrafts [45], we reported unprecedented results of motion sickness in passengers when using miniaturized autonomous vehicles, such as APMV.…”

Section: Discussion a Reported Miscmentioning

confidence: 65%

Subjective Vertical Conflict Model With Visual Vertical: Predicting Motion Sickness on Autonomous Personal Mobility Vehicles

Liu,

Inoue,

Wada

2024

IEEE Trans. Intell. Transport. Syst.

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Passengers of level 3-5 autonomous personal mobility vehicles (APMV) can perform non-driving tasks, such as reading books and smartphones, while driving. It has been pointed out that such activities may increase motion sickness, especially when frequently avoiding pedestrians or obstacles in shared spaces. Many studies have been conducted to build countermeasures, of which various computational motion sickness models have been developed. Among them, models based on subjective vertical conflict (SVC) theory, which describes vertical changes in direction sensed by human sensory organs v.s. those expected by the central nervous system, have been actively developed. To model motion sickness due to conflict between visual vertical information and vestibular sensation, we proposed a 6 DoF SVC-VV model which added a visually perceived vertical block into a conventional 6 DoF SVC model to predict visual vertical directions from image data simulating the visual input of a human. In a driving experiment, 27 participants rode on the APMV and experienced slalom driving with two visual conditions: looking ahead (LAD) and working with a tablet device (WAD). We verified that passengers got motion sickness while riding the APMV, and the symptoms were severer when especially working on it, by simulating the frequent pedestrian avoidance scenarios of the APMV in the experiment. In addition, the results of the experiment demonstrated that the proposed 6 DoF SVC-VV model could describe the increased motion sickness experienced when the visual vertical and gravitational acceleration directions were different.

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Section: Discussion a Reported Miscmentioning

confidence: 65%

Subjective Vertical Conflict Model With Visual Vertical: Predicting Motion Sickness on Autonomous Personal Mobility Vehicles

Liu,

Inoue,

Wada

2024

IEEE Trans. Intell. Transport. Syst.

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“…These 17 subjects were classified according to the described pre-experimental self-report of general motion sickness susceptibility according to Brietzke et al ( 2021a ) as follows: Six participants answered “never” and were classified as non-susceptible to motion sickness, while 11 participants answered other than “never” and were classified as susceptible. From the total cohort, eight (out of 17, 47%) experienced nausea symptoms, while the remaining nine (out of 17, 53%), including both non-susceptible and susceptible participants, did not experience nausea symptoms.…”

Section: Resultsmentioning

confidence: 99%

“…At the end of the ride, two questions related to the documentary had to be answered to keep the participant focused. For more details on the experimental setup, see Brietzke et al ( 2021a , b ).…”

Section: Methodsmentioning

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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“…More recently, and Kuiper et al (2018) evaluated the impact on motion sickness with passengers using head-down versus head-up displays and found that the presence of peripheral vision afforded by head-up display configurations resulted in significantly lower levels of sickness. Similarly, Brietzke et al (2021) reported motion sickness levels twice as high when watching a movie using a head-down display compared to looking out of the vehicle. Salter et al (2019) showed that rearward facing seating arrangements that prevent the passenger from seeing the road ahead led to significantly elevated levels of motion sickness compared to conventional forward facing seating arrangements.…”

Section: Visionmentioning

confidence: 95%

“…In addition, there is a proliferation of self-styled questionnaires and rating scales to, for example, accommodate cultural and language factors (e.g. Jones et al 2018;Brietzke et al, 2021). While acknowledging the desire to innovate assessment methods and respond to study-or population-specific needs, at this stage, this variability in assessment and evaluation methods is hampering comparisons across studies and our understanding of motion sickness.…”

Section: Motion Sickness Assessment and Evaluationmentioning

confidence: 99%

Motion Sickness in Automated Vehicles: Principal Research Questions and the Need for Common Protocols

Diels¹,

Yao²,

Bos³

et al. 2022

SAE Intl. J CAV

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Motion sickness in automated vehicles represents a key Human Factors concern that will negatively impact the passenger experience and, ultimately, public acceptance. Minimising or avoiding motion sickness altogether therefore becomes a strategic design goal. In this paper we propose principal research questions that need to be addressed as part of a concerted effort to understand the causative factors of motion sickness and the need to develop and apply common protocols to accelerate knowledge and subsequent innovation in this field. With the ultimate goal to provide guidelines to inform the design of future vehicles, the International Standard ISO 2631-1 (1997) is taken as the starting point. The current Standard provides estimates of the likelihood of motion sickness as a function of vertical motion input only. However, in the context of automated vehicles, and in particular in the light of anticipated Non-Driving Related Activities in such vehicles, the current standard is of limited use: The model has not been validated for horizontal and rotational motions or any potential multi-axes interactions; The Standard was derived on the basis of the percentage of passengers reaching the point of emesis while less severe levels of motion sickness are of greater interest and may show a different relationship between the frequency and acceleration; Modulating factors that are able to regulate, adjust or adapt sickness levels are not included, in particular vision and the associated concept of anticipation, passenger orientation and reclination angles. Finally, the accumulation of motion sickness knowledge in this field is severely hampered by the absence of consistent study protocols. We here propose the identification and development of appropriate vibration measurements and motion sickness assessment and evaluation methods.

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Influence of dynamic stimulation, visual perception and individual susceptibility to car sickness during controlled stop-and-go driving

Cited by 12 publications

References 24 publications

Subjective Vertical Conflict Model With Visual Vertical: Predicting Motion Sickness on Autonomous Personal Mobility Vehicles

Subjective Vertical Conflict Model With Visual Vertical: Predicting Motion Sickness on Autonomous Personal Mobility Vehicles

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

Motion Sickness in Automated Vehicles: Principal Research Questions and the Need for Common Protocols

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