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How Drivers Categorize ADAS Functions -Insights from a Card Sorting Study

机译:驾驶员如何对ADAS功能进行分类-来自卡分类研究的见解

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Advanced driver assistance systems (ADAS) are intelligent systems that can help vehicle drivers to drive with ease and safety. A growing body of ADAS technologies bring benefits to vehicle drivers. However, understanding increasing ADAS terminologies becomes a potential problem for ordinary drivers. An individual open card sorting study was conducted to test Chinese driver's mental model of ADAS categories. 14 private car drivers were invited to do card sorting, visualizing their mental model of ADAS function categorization. 18 ADAS-related terminologies and their brief explanations were printed on separate paper cards. Participants are told to sort these cards into groups and then name their card groups as what they would want to see in their own cars. To analyze card sorting result, 2 researchers merged similar group names into 7 groups: Driving Assist, Collision Prevention, Safety Setting, Parking Assist, Start-Stop Assist, Information, and General. 15 out of 18 cards can be clearly grouped, being put under the same group by more than (or equals) 40% participants. 3 out of 7 group get cards clearly followed. They are Driving Assist, Collision Prevention, and Parking Assist. We also compare the result with Troppmann's Model and United States Department of Transportation (NHTSA, 2020) Model and find Chinese drivers tend to use a different driving status clue. The result suggests ADAS technology categories maybe different between industry practice and Chinese private drivers' mental model. Culture influence and ADAS knowledge can be possible reasons for the difference.
机译:先进的驾驶员辅助系统(ADAS)是智能系统,可帮助车辆驱动器轻松和安全开车。越来越多的ADAS技术为车辆司机带来了益处。然而,了解越来越多的ADAS术语成为普通驱动因素的潜在问题。进行个人开放卡分拣研究,以测试中国司机的ADAS类别的心理模型。 14私人汽车司机被邀请进行卡片排序,可视化其心理模型的ADAS功能分类。在单独的纸卡上印有18个与ADAS相关的术语及其简短的解释。参与者被告知将这些卡片分类为小组,然后将其卡片群命名为他们想要在自己的汽车中看到的内容。要分析卡排序结果,2名研究人员将类似的组名与7组合并为7组:驾驶辅助,防撞,安全设置,停车辅助,启动辅助,信息和一般。 18张牌中的15个可以明确分组,以超过(或等于)40%的参与者在同一组下进行。 7组中的3个清单跟踪卡。他们正在驾驶辅助,防撞和停车辅助。我们还将结果与Troppmann的型号和美国交通部(NHTSA,2020年)模式进行了比较,发现中国司机倾向于使用不同的驾驶状态线索。结果表明,行业实践与中国私营司机心理模型之间的ADAS技术类别可能是不同的。文化影响和ADAS知识可能是差异的可能原因。

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