@article{avramidis_evaluating_2021,
	title = {Evaluating a {Smart} {Car} {Interface} in {Terms} of {Usability}, {User} {Experience} and {User} {Acceptance}},
	shorttitle = {根据可用性，用户体验和用户接受度评估智能汽车界面},
	abstract = {Although the automation of cars aims to facilitate driving, current systems still rely on the driver for handling critical driving situations. As long as fully automatic systems are not available, the driver has to be supported in the take-over maneuver. We thus propose an interface that relies on auditory and visual signals to support the take-over process. Our interface further provides assistance for driving in poor visibility conditions, such as bad weather or darkness, by highlighting other traffic participants and lane boundaries. An online evaluation of our interface with 22 participants indicates a good usability, user experience, and acceptance.

【摘要翻译】尽管汽车的自动化旨在促进驾驶，但当前的系统仍依靠驾驶员来处理关键的驾驶情况。只要没有全自动系统，就必须在接管机动中支持驾驶员。因此，我们提出了一个依赖听觉和视觉信号来支持接管过程的接口。我们的界面通过突出其他交通参与者和车道界限，进一步提供了在较差的可见性条件（例如恶劣天气或黑暗）下驾驶的帮助。对我们与22名参与者的界面进行在线评估表明，可用性，用户体验和接受。},
	language = {en},
	journal = {Mensch und Computer},
	author = {Avramidis, Mario and Kellner, Christiane and Staudt, Josefine and Zimmermann, Verena and Gerber, Nina},
	year = {2021},
	keywords = {/unread},
}

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