SimPath：基于驾驶条件适应减轻车内信息系统运动不适
人机交互
2025-11-17 v2
摘要
乘客在车内信息系统（IVIS）使用中出现的运动不适（MS）问题显著影响舒适度和效率。本研究创新性地设计了SimPath一种有效缓解乘客MS并提升其使用IVIS效率的视觉设计方案。该研究聚焦于实际驾驶中常见的不规则运动条件。为验证该方案的有效性，本文在真实驾驶场景中开展了两组实车实验。结果表明，该方案在一定程度上显著降低了乘客的MS水平。然而，由于视觉内容引起注意力分散，未能直接提高IVIS的使用效率。总体而言，本研究为基于原理讨论的IVIS设计提供了关键见解，为开发更智能、更友好的IVIS提供了坚实的理论支持和实际指导。
引用
@article{arxiv.2511.09240,
title = {SimPath: Mitigating Motion Sickness in In-vehicle Infotainment Systems via Driving Condition Adaptation},
author = {Jinghao Huang and Siqi Yao and Yu Zhang},
journal= {arXiv preprint arXiv:2511.09240},
year = {2025}
}
备注
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