Wijlens Rowenna, Englebert Boris J V, Takamatsu Atsushi, Makita Mitsuhiro, Sato Hikaru, Wada Takahiro, de Winter Joost C F, van Paassen Marinus M, Mulder Max
Delft University of Technology, Delft, The Netherlands.
Nissan Research Center, Nissan Motor Co., Ltd., Atsugi, Kanagawa, Japan.
Ergonomics. 2025 May;68(5):697-715. doi: 10.1080/00140139.2024.2372704. Epub 2024 Jul 31.
Automated vehicles could increase the risk of motion sickness because occupants are not involved in driving and do not watch the road. This paper aimed to investigate the influence of motion predictability on motion sickness in automated vehicles, as better motion anticipation is believed to mitigate motion sickness. In a simulator-based study, twenty participants experienced two driving conditions differing only in turn directions. The repetitive condition featured a repeating turn direction pattern. The non-repetitive condition contained pseudo-randomly ordered turn directions. To mimic an 'eyes-off-the-road' setting and prevent visual motion anticipation, road visuals were omitted. No significant differences in sickness or head motion, a metric for motion anticipation, were found between the conditions. No participant recognised the repeating turn pattern. This suggests no increased motion anticipation in the repetitive condition, possibly due to a reduced ability to recognise a repeating motion pattern in one degree of freedom within more complex motion.
自动驾驶车辆可能会增加晕车的风险，因为乘客不参与驾驶且不看路。本文旨在研究运动可预测性对自动驾驶车辆中晕车的影响，因为更好的运动预期被认为可以减轻晕车症状。在一项基于模拟器的研究中，20名参与者体验了仅转弯方向不同的两种驾驶条件。重复条件下具有重复的转弯方向模式。非重复条件下包含伪随机排列的转弯方向。为了模拟“不看路”的场景并防止视觉运动预期，省略了道路视觉效果。在这两种条件下，晕车或头部运动（运动预期的一个指标）均未发现显著差异。没有参与者识别出重复的转弯模式。这表明在重复条件下运动预期没有增加，可能是由于在更复杂的运动中识别一个自由度内重复运动模式的能力降低。
