SimPath：通过驾驶条件自适应缓解车载信息娱乐系统中的晕动症 (SimPath: Mitigating Motion Sickness in In-vehicle Infotainment Systems via Driving Condition Adaptation)

from arxiv, Notably, this study has experimental limitations, with data integrity and reliability not yet meeting formal publication standards. Despite these constraints, its core scientific idea and innovation retain exploratory value. We release this preprint to share the research framework, inform peers, and facilitate discussions on experimental optimization

The problem of Motion Sickness (MS) among passengers significantly impacts the comfort and efficiency of In-Vehicle Infotainment Systems (IVIS) use. In this study, we innovatively designed SimPath, a visual design to effectively mitigate passengers' MS and boost their efficiency of using IVIS during driving. The study focuses on the problem of irregular motion conditions frequently encountered during actual driving. To validate the efficacy of this approach, two sets of real - vehicle experiments were carried out in real driving scenarios. The results demonstrate that this approach significantly reduces passenger's MS level to a certain extent. However, due to divided attention from visual content, it does not directly improve the IVIS efficiency. In conclusion, this study offers crucial insights for the design of a more intelligent and user friendly IVIS, based on the discussion of the principle, providing strong theoretical support and practical guidance for the development of future IVIS in autonomous vehicles.

翻译：乘客的晕动症问题显著影响了车载信息娱乐系统的使用舒适度与效率。本研究创新性地设计了SimPath视觉方案，以有效缓解乘客的晕动症状，并提升其在行车过程中使用车载信息娱乐系统的效率。研究聚焦于实际驾驶中频繁遭遇的非规则运动状态问题。为验证该方法的有效性，在真实驾驶场景中开展了两组实车实验。结果表明，该方法能在一定程度上显著降低乘客的晕动程度，但由于视觉内容导致的注意力分散，并未直接提升车载信息娱乐系统的使用效率。综上所述，本研究通过对作用原理的探讨，为设计更智能、人性化的车载信息娱乐系统提供了关键见解，为未来自动驾驶车辆中车载信息娱乐系统的发展提供了坚实的理论支撑与实践指导。