14579 AAA Foundation for Traffic Safety, Washington, DC, USA.
5228 University of Wisconsin-Madison, USA.
Hum Factors. 2020 Mar;62(2):189-193. doi: 10.1177/0018720820901542.
The aim of this special issue is to bring together the latest research related to driver interaction with various types of vehicle automation.
Vehicle technology has undergone significant progress over the past decade, bringing new support features that can assist the driver and take on more and more of the driving responsibilities.
This issue is comprised of eight articles from international research teams, focusing on different types of automation and different user populations, including driver support features through to highly automated driving systems.
The papers comprising this special issue are clustered into three categories: (a) experimental studies of driver interactions with advanced vehicle technologies; (b) analysis of existing data sources; and (c) emerging human factors issues. Studies of currently available and pending systems highlight some of the human factors challenges associated with the driver-system interaction that are likely to become more prominent in the near future. Moreover, studies of more nascent concepts (i.e., those that are still a long way from production vehicles) underscore many attitudes, perceptions, and concerns that will need to be considered as these technologies progress.
Collectively, the papers comprising this special issue help fill some gaps in our knowledge. More importantly, they continue to help us identify and articulate some of the important and potential human factors barriers, design considerations, and research needs as these technologies become more ubiquitous.
本特刊的目的是汇集与驾驶员与各种类型的车辆自动化交互相关的最新研究成果。
在过去的十年中,车辆技术取得了重大进展,带来了新的支持功能,可以为驾驶员提供帮助,并承担越来越多的驾驶责任。
本特刊由来自国际研究团队的八篇文章组成,重点关注不同类型的自动化和不同的用户群体,包括驾驶员支持功能到高度自动化的驾驶系统。
本特刊中的论文分为三类:(a)驾驶员与先进车辆技术交互的实验研究;(b)对现有数据源的分析;(c)新兴的人因问题。对现有和即将推出的系统的研究强调了一些与驾驶员-系统交互相关的人因挑战,这些挑战在不久的将来可能会更加突出。此外,对新兴概念(即距离生产车辆还有很长一段路要走的概念)的研究强调了许多态度、看法和担忧,这些都需要在这些技术发展过程中加以考虑。
本特刊中的论文共同帮助填补了我们知识中的一些空白。更重要的是,它们继续帮助我们确定和阐明一些重要的和潜在的人因障碍、设计考虑因素和研究需求,因为这些技术变得越来越普及。