What Can User Typologies Tell Us about Carsickness Criticality in
Future Mobility Systems 12-05-02-0012
This also appears in
SAE International Journal of Connected and Automated Vehicles-V131-12EJ
Car manufacturers are continuously improving passenger comfort by advancing
technologies including highly automated driving. Before the broad introduction
of automated driving, specific human factors regarding passenger comfort must be
considered, including motion sickness. Therefore, the identification of the
frequency of motion sickness and associated factors in the population is needed
to extrapolate the effects for future mobility systems. We conducted three
surveys between 2015 and 2020, asking people questions about their experience
with motion sickness in cars. Based on the responses of 1,165 participants,
gender and age showed a strong influence on the self-reported frequency of
motion sickness. For deeper analysis, a logistic order regression model was used
to estimate the frequency of motion sickness for different user typologies. The
user-centered forecast is essential to prioritize possible technological
measures in the vehicle in order to improve the product experience.
Citation: Brietzke, A., Kantusch, T., Pham Xuan, R., Dettmann, A. et al., "What Can User Typologies Tell Us about Carsickness Criticality in Future Mobility Systems," SAE Intl. J CAV 5(2):135-145, 2022, https://doi.org/10.4271/12-05-02-0012. Download Citation
Author(s):
Adrian Brietzke, Timmy Kantusch, Rebecca Pham Xuan, André Dettmann, Stefanie Marker, Angelika C. Bullinger
Affiliated:
Volkswagen AG, Germany Chemnitz University of Technology, Germany, Volkswagen AG, Germany Technical University Berlin, Germany
Pages: 12
ISSN:
2574-0741
e-ISSN:
2574-075X
Related Topics:
Highly automated vehicles
Automated Vehicles
Human factors
Mobility
Comfort
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