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配备先进驾驶辅助系统(ADAS)的车辆车主对ADAS的感知安全益处、担忧及实用性。

Perceived safety benefits, concerns, and utility of advanced driver assistance systems among owners of ADAS-equipped vehicles.

作者信息

Pradhan Anuj K, Pulver Elizabeth, Zakrajsek Jennifer, Bao Shan, Molnar Lisa

机构信息

a University of Michigan Transportation Research Institute , Ann Arbor , Michigan.

b State Farm Technology Research and Innovation Laboratory , Bloomington , Illinois.

出版信息

Traffic Inj Prev. 2018;19(sup2):S135-S137. doi: 10.1080/15389588.2018.1532201.

DOI:10.1080/15389588.2018.1532201
PMID:30841806
Abstract

OBJECTIVE

There are many unknowns regarding drivers' use and acceptance of advanced vehicle technologies. This research aimed to examine drivers' perceptions of advanced driver assistance systems (ADAS).

METHODS

This research was conducted using structured interviews and focus groups of owners of vehicles with advanced technologies.

RESULTS

Drivers' perceptions about ADAS were mixed, but generally safety was considered to be the greatest value of the systems. There was recognition that the systems may result in overreliance and thus encourage distraction behaviors or other bad driving habits, and participants generally expressed that they were ultimately responsible for the vehicle's operation and needed to be ready to override the system if it failed.

CONCLUSIONS

The findings indicate that driver characteristics and individual factors may influence perceptions, behaviors, and interactions with safety technology, and this research is a first step toward understanding any influences. Human factors issues related to automated vehicle technologies are critical for design and deployment, including those of trust, acceptance, and understanding of systems.

摘要

目的

关于驾驶员对先进车辆技术的使用和接受程度,存在许多未知因素。本研究旨在调查驾驶员对先进驾驶辅助系统(ADAS)的看法。

方法

本研究通过对拥有先进技术车辆的车主进行结构化访谈和焦点小组讨论来开展。

结果

驾驶员对ADAS的看法不一,但总体而言,安全被认为是这些系统的最大价值。人们认识到这些系统可能会导致过度依赖,从而助长分心行为或其他不良驾驶习惯,并且参与者普遍表示他们最终要对车辆的操作负责,如果系统出现故障,需要随时准备超越该系统。

结论

研究结果表明,驾驶员特征和个体因素可能会影响对安全技术的认知、行为及互动,本研究是朝着理解任何影响迈出的第一步。与自动驾驶车辆技术相关的人为因素问题对于设计和部署至关重要,包括对系统的信任、接受和理解等方面。

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