Abstract

Managing vehicle stress and arousal is essential for safe and satisfying driving experiences. However, unexpected movements and degraded driving ex-perience quality can cause rapid changes in arousal levels during driving. One of the important factors affecting the quality of the user experience is motion sick-ness. This study uses various biometric indicators to understand the impact of motion sickness severity and arousal levels. Specifically, this research investi-gates the relationship between biometric signals, particularly electrocardiogram (ECG) indicators, and motion sickness in real driving environments. By analyz-ing ECG-derived metrics, we aim to identify patterns associated with increased arousal and stress levels, potentially leading to the development of personalized driver support systems.

Keywords: : Electric Vehicle, Motion