Can We Estimate Motion Sickness Severity in Car Passengers Based on Individual Head Dynamics?

Area of Science:

• Biomechanics
• Human Factors Engineering
• Neuroscience

Background:

• The link between motion sickness and postural instability is established in static settings.
• Limited research exists on this relationship within dynamic environments like vehicles.

Purpose of the Study:

• To investigate the connection between car passenger motion sickness and head movements during non-driving activities.
• To explore the predictive capability of head movement patterns and numerical models for motion sickness severity.

Main Methods:

• An experimental car ride simulation (15 minutes) with 56 participants.
• In-ear sensors measured head linear accelerations.
• Subjective motion sickness ratings collected at intervals, alongside UniPG model estimations.

Main Results:

• Significant relationships found between head movement patterns (longitudinal and lateral acceleration variability, skewness, kurtosis) and motion sickness.
• Mild overall symptoms reported, but specific movement patterns correlated with severity.
• The UniPG model accurately predicted subjective ratings for 67% of participants experiencing some symptoms.

Conclusions:

• Head movement variability and asymmetry interact to influence motion sickness severity.
• Specific patterns of longitudinal and lateral head accelerations can exacerbate symptoms.
• Motion sickness prediction models using head movement data could enhance passenger comfort and safety.