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首页> 外文会议>International Conference on HCI in Mobility, Transport, and Automotive Systems;International Conference on Human-Computer Interaction >The Hexagonal Spindle Model for Human Situation Awareness While Autonomous Driving
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The Hexagonal Spindle Model for Human Situation Awareness While Autonomous Driving

机译：六边形主轴模型在无人驾驶时的态势感知

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Over the years, many automobiles have been installed with automated functions (Debernard et al. [5]). Traditional automotive manufacturers in addition to newly emerging IT companies have been recently developing autonomous driving functions. Common sensor technologies have recently been discussed, although human situation awareness regarding autonomous driving systems has not. According to Endsley, the development of autonomous vehicles reveals three major problems [8] that may affect drivers' overall safety, as the autonomous driving system is not perfect; thus, if any problems occur that disable the driver and autonomous system from maintaining safe driving, a serious car crash becomes a possibility. Therefore, this paper suggests that the hexagonal spindle model be employed for human situation awareness during autonomous driving. Through the model, Human Machine Interface (HMI) designers may be expected to consider various aspects of human situation awareness during autonomous driving to help drivers implement driving strategies when facing unanticipated events on the road.
机译：多年来，已经安装了许多具有自动功能的汽车（Debernard等人[5]）。除了新兴的IT公司以外，传统的汽车制造商最近都在开发自动驾驶功能。尽管没有关于自动驾驶系统的人类处境意识，但是最近已经讨论了通用传感器技术。根据恩德斯利的说法，自动驾驶汽车的发展揭示了三个主要问题[8]，这可能会影响驾驶员的整体安全，因为自动驾驶系统并不完善。因此，如果发生使驾驶员和自主系统无法维持安全驾驶的任何问题，则可能发生严重的车祸。因此，本文建议将六角形主轴模型用于自动驾驶过程中的人体状况感知。通过该模型，可以期望人机界面（HMI）设计人员在自动驾驶过程中考虑人境感知的各个方面，以帮助驾驶员在面对道路上意外事件时实施驾驶策略。

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