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Managing vehicle stress and arousal is essential for safe and satisfying driving experiences. However, unexpected movements and degraded driving experience quality can cause rapid changes in arousal levels during driving. One of the important factors affecting the quality of the user experience is motion sickness. This study uses various biometric indicators to understand the impact of motion sickness severity and arousal levels. Specifically, this research investigates the relationship between biometric signals, particularly electrocardiogram (ECG) indicators, and motion sickness in real driving environments. By analyzing 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.

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Evaluation of Usability and Arousal Levels in Electric Vehicles Using In-Vehicle Physiological Signals: A Focus on Motion Sickness

  • 会议论文

  • 发表日期：

    2025年

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  • Jiyeon Shin,
  • Yein Song,
  • Cai Wang,
  • Jungyeon Park,
  • Jaehoo Bae,
  • Jae Sik Yang,
  • Seonghyeon Kim,
  • Sangwoo Bahn,
  • Myung Hwan Yun

摘要

Managing vehicle stress and arousal is essential for safe and satisfying driving experiences. However, unexpected movements and degraded driving experience quality can cause rapid changes in arousal levels during driving. One of the important factors affecting the quality of the user experience is motion sickness. This study uses various biometric indicators to understand the impact of motion sickness severity and arousal levels. Specifically, this research investigates the relationship between biometric signals, particularly electrocardiogram (ECG) indicators, and motion sickness in real driving environments. By analyzing 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.