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驾驶员对部分驾驶自动化系统的期望与品牌和培训有关。

Driver Expectations of a Partial Driving Automation System in Relation to Branding and Training.

机构信息

Westat, Rockville, MD, USA.

AAA Foundation for Traffic Safety, Washington, DC, USA.

出版信息

Hum Factors. 2024 May;66(5):1531-1544. doi: 10.1177/00187208221143024. Epub 2022 Dec 18.

DOI:10.1177/00187208221143024
PMID:36530124
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10943610/
Abstract

OBJECTIVE

The current study examined whether differences in the branding and description or mode of training materials influence drivers' understanding and expectations of a partial driving automation system.

BACKGROUND

How technology is described might influence consumers' understanding and expectations, even if all information is accurate.

METHOD

Ninety drivers received training about a real partial driving automation system with a fictitious name. Participants were randomly assigned to a branding condition (system named , training emphasized capabilities; or system named , training emphasized limitations) and training mode (quick-start brochure; video; or in-person demonstration). No safety-critical information was withheld nor deliberately misleading information provided. After training, participants drove a vehicle equipped with the system. Associations of drivers' expectations with branding condition and training mode were assessed using between-subjects comparisons of questionnaire responses obtained pre- and post-drive.

RESULTS

Immediately after training, those who received information emphasizing the system's capabilities had greater expectations of the system's function and crash avoidance capability in a variety of driving scenarios, including many in which the system would not work, as well as greater willingness to utilize the system's workload reduction benefits to take more risks. Most but not all differences persisted after driving the vehicle. Expectations about collision avoidance differed by training mode pre-drive but not post-drive.

CONCLUSION

Training that emphasizes a partial driving automation system's capabilities and downplays its limitations can foster overconfidence.

APPLICATION

Accuracy of technical information does not guarantee understanding; training should provide a balanced view of a system's limitations as well as capabilities.

摘要

目的

本研究旨在探讨培训材料的品牌和描述差异或培训模式是否会影响驾驶员对部分驾驶自动化系统的理解和期望。

背景

技术的描述方式可能会影响消费者的理解和期望,即使所有信息都是准确的。

方法

90 名驾驶员接受了一个具有虚构名称的真实部分驾驶自动化系统的培训。参与者被随机分配到品牌条件(系统命名为 ,培训强调功能;或系统命名为 ,培训强调限制)和培训模式(快速入门手册;视频;或现场演示)。没有隐瞒任何安全关键信息,也没有提供故意误导性信息。培训后,参与者驾驶配备该系统的车辆。使用驾驶前后获得的问卷回答进行受试者间比较,评估驾驶员期望与品牌条件和培训模式的关联。

结果

培训后立即,那些接收到强调系统功能的信息的人对系统在各种驾驶场景中的功能和避撞能力有更高的期望,包括许多系统无法工作的场景,以及更愿意利用系统的减轻工作负荷的好处来承担更多的风险。大多数但不是所有差异在驾驶车辆后仍然存在。驾驶前对避撞的期望因培训模式而异,但驾驶后则没有。

结论

强调部分驾驶自动化系统功能而淡化其限制的培训可能会助长过度自信。

应用

技术信息的准确性并不能保证理解;培训应提供系统限制和功能的平衡观点。

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