William Emond, André Tomalka, Aysenur Bektas, Mohsen Zare
{"title":"Can We Estimate Motion Sickness Severity in Car Passengers Based on Individual Head Dynamics?","authors":"William Emond, André Tomalka, Aysenur Bektas, Mohsen Zare","doi":"10.1177/00187208251326683","DOIUrl":null,"url":null,"abstract":"<p><p>ObjectiveThis study investigates the relationship between motion sickness and body movements experienced by car passengers during non-driving related activities.BackgroundThe theory linking motion sickness to postural instability is well-documented in static environments. However, evidence supporting this theory in dynamic environments, such as moving vehicles, is still lacking.MethodUsing an experimental approach replicating a naturalistic 15-min car ride, 56 participants were equipped with an in-ear sensor to measure the linear accelerations of the head. Participants reported their motion sickness severity at 3-min intervals during the experiment and once more post experimentation. Additionally, the UniPG numerical model was used to estimate motion sickness severity.ResultsThe study identified significant relationships between specific head movement patterns and motion sickness severity, even though the overall symptoms reported were mild. Nonlinear interactions were identified between the standard deviation (<i>p</i> = .032) and the skewness (<i>p</i> = .028) of longitudinal head acceleration, as well as for the skewness (<i>p</i> = .004) and kurtosis (<i>p</i> = .008) of lateral head acceleration. Predictions from the UniPG model correlated with subjective ratings for 67% of participants with some motion sickness symptoms.ConclusionHighly variable longitudinal movements appear more tolerable when lateral movements remain symmetric; however, when both variability and asymmetry in head movements are present together in a specific pattern, they may exacerbate motion sickness symptoms.ApplicationIncorporating motion sickness prediction models in vehicles, based on the measurement of head movements, might improve detection of the escalation of symptoms in car passengers.</p>","PeriodicalId":56333,"journal":{"name":"Human Factors","volume":" ","pages":"187208251326683"},"PeriodicalIF":2.9000,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Human Factors","FirstCategoryId":"102","ListUrlMain":"https://doi.org/10.1177/00187208251326683","RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BEHAVIORAL SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
ObjectiveThis study investigates the relationship between motion sickness and body movements experienced by car passengers during non-driving related activities.BackgroundThe theory linking motion sickness to postural instability is well-documented in static environments. However, evidence supporting this theory in dynamic environments, such as moving vehicles, is still lacking.MethodUsing an experimental approach replicating a naturalistic 15-min car ride, 56 participants were equipped with an in-ear sensor to measure the linear accelerations of the head. Participants reported their motion sickness severity at 3-min intervals during the experiment and once more post experimentation. Additionally, the UniPG numerical model was used to estimate motion sickness severity.ResultsThe study identified significant relationships between specific head movement patterns and motion sickness severity, even though the overall symptoms reported were mild. Nonlinear interactions were identified between the standard deviation (p = .032) and the skewness (p = .028) of longitudinal head acceleration, as well as for the skewness (p = .004) and kurtosis (p = .008) of lateral head acceleration. Predictions from the UniPG model correlated with subjective ratings for 67% of participants with some motion sickness symptoms.ConclusionHighly variable longitudinal movements appear more tolerable when lateral movements remain symmetric; however, when both variability and asymmetry in head movements are present together in a specific pattern, they may exacerbate motion sickness symptoms.ApplicationIncorporating motion sickness prediction models in vehicles, based on the measurement of head movements, might improve detection of the escalation of symptoms in car passengers.
期刊介绍:
Human Factors: The Journal of the Human Factors and Ergonomics Society publishes peer-reviewed scientific studies in human factors/ergonomics that present theoretical and practical advances concerning the relationship between people and technologies, tools, environments, and systems. Papers published in Human Factors leverage fundamental knowledge of human capabilities and limitations – and the basic understanding of cognitive, physical, behavioral, physiological, social, developmental, affective, and motivational aspects of human performance – to yield design principles; enhance training, selection, and communication; and ultimately improve human-system interfaces and sociotechnical systems that lead to safer and more effective outcomes.