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增强型视觉环境对减少自动驾驶车辆疾病的功效。

Efficacy of augmented visual environments for reducing sickness in autonomous vehicles.

机构信息

Max Planck Institute for Biological Cybernetics, Department of Perception, Cognition and Action, Max-Planck-Ring 14, 72076, Tübingen, Germany; Delft University of Technology, Faculty of Mechanical, Maritime and Materials Engineering, Cognitive Robotics Department, Mekelweg 2, 2628CD, Delft, The Netherlands.

Max Planck Institute for Biological Cybernetics, Department of Perception, Cognition and Action, Max-Planck-Ring 14, 72076, Tübingen, Germany; Virtual Vehicle Research Center, Inffeldgasse 21a, 8010, Graz, Austria.

出版信息

Appl Ergon. 2021 Jan;90:103282. doi: 10.1016/j.apergo.2020.103282. Epub 2020 Oct 13.

DOI:10.1016/j.apergo.2020.103282
PMID:33065467
Abstract

The risk of motion sickness is considerably higher in autonomous vehicles than it is in human-operated vehicles. Their introduction will therefore require systems that mitigate motion sickness. We investigated whether this can be achieved by augmenting the vehicle interior with additional visualizations. Participants were immersed in motion simulations on a moving-base driving simulator, where they were backward-facing passengers of an autonomous vehicle. Using a Head-Mounted Display, they were presented either with a regular view from inside the vehicle, or with augmented views that offered additional cues on the vehicle's present motion or motion 500ms into the future, displayed on the vehicle's interior panels. In contrast to the hypotheses and other recent studies, no difference was found between conditions. The absence of differences between conditions suggests a ceiling effect: providing a regular view may limit motion sickness, but presentation of additional visual information beyond this does not further reduce sickness.

摘要

晕车的风险在自动驾驶汽车中比在人类操作的汽车中要高得多。因此,它们的引入将需要缓解晕车的系统。我们研究了通过在车辆内部增加额外的可视化效果是否可以实现这一目标。参与者在移动基座驾驶模拟器上进行了运动模拟,他们是自动驾驶汽车的背对背乘客。使用头戴式显示器,他们要么看到车辆内部的常规视图,要么看到增强的视图,这些视图提供了关于车辆当前运动或未来 500ms 运动的额外线索,显示在车辆的内部面板上。与假设和其他最近的研究相反,条件之间没有发现差异。条件之间没有差异表明存在上限效应:提供常规视图可能会限制晕车,但提供超出此范围的额外视觉信息并不能进一步减少晕车。

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Electrogastrography in Autonomous Vehicles-An Objective Method for Assessment of Motion Sickness in Simulated Driving Environments.
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Sensors (Basel). 2021 Jan 14;21(2):550. doi: 10.3390/s21020550.