Effects of Demographic Characteristics on Trust in Driving Automation

IF 0.9 Q4 ROBOTICS

Journal of Robotics and Mechatronics Pub Date : 2020-06-20 DOI:10.20965/jrm.2020.p0605

Jieun Lee, G. Abe, Kenji Sato, M. Itoh

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引用次数: 6

Abstract

With the successful introduction of advanced driver assistance systems, vehicles with driving automation technologies have begun to be released onto the market. Because the role of human drivers during automated driving may be different from the role of drivers with assistance systems, it is important to determine how general users consider such new technologies. The current study has attempted to consider driver trust, which plays a critical role in forming users’ technology acceptance. In a driving simulator experiment, the demographic information of 56 drivers (50% female, 64% student, and 53% daily driver) was analyzed with respect to Lee and Moray’s three dimensions of trust: purpose, process, and performance. The statistical results revealed that female drivers were more likely to rate higher levels of trust than males, and non-student drivers exhibited higher levels of trust than student drivers. However, no driving frequency-related difference was observed. The driver ratings of each trust dimension were neutral to moderate, but purpose-related trust was lower than process- and performance-related trust. Additionally, student drivers exhibited a tendency to distrust automation compared to non-student drivers. The findings present a potential perspective of driver acceptability of current automated vehicles.

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人口统计学特征对自动化驾驶信任的影响

随着先进驾驶辅助系统的成功引入，具有驾驶自动化技术的车辆已经开始投放市场。由于人类驾驶员在自动驾驶中的角色可能与辅助系统驾驶员的角色不同，因此确定普通用户如何看待此类新技术非常重要。目前的研究试图考虑司机信任，它在形成用户的技术接受度中起着关键作用。在驾驶模拟器实验中，对56名司机(50%为女性，64%为学生，53%为日常司机)的人口统计信息进行了分析，分析了Lee和Moray提出的信任的三个维度:目的、过程和绩效。统计结果显示，女性司机比男性司机更有可能获得更高的信任水平，非学生司机比学生司机表现出更高的信任水平。然而，没有观察到与驱动频率相关的差异。各信任维度的驱动因素评分为中性至中等，但与目的相关的信任低于与过程和绩效相关的信任。此外，与非学生司机相比，学生司机表现出不信任自动化的倾向。研究结果显示了驾驶员对当前自动驾驶汽车接受程度的潜在看法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Robotics and Mechatronics ROBOTICS-

CiteScore

2.20

自引率

36.40%

发文量

134

期刊介绍： First published in 1989, the Journal of Robotics and Mechatronics (JRM) has the longest publication history in the world in this field, publishing a total of over 2,000 works exclusively on robotics and mechatronics from the first number. The Journal publishes academic papers, development reports, reviews, letters, notes, and discussions. The JRM is a peer-reviewed journal in fields such as robotics, mechatronics, automation, and system integration. Its editorial board includes wellestablished researchers and engineers in the field from the world over. The scope of the journal includes any and all topics on robotics and mechatronics. As a key technology in robotics and mechatronics, it includes actuator design, motion control, sensor design, sensor fusion, sensor networks, robot vision, audition, mechanism design, robot kinematics and dynamics, mobile robot, path planning, navigation, SLAM, robot hand, manipulator, nano/micro robot, humanoid, service and home robots, universal design, middleware, human-robot interaction, human interface, networked robotics, telerobotics, ubiquitous robot, learning, and intelligence. The scope also includes applications of robotics and automation, and system integrations in the fields of manufacturing, construction, underwater, space, agriculture, sustainability, energy conservation, ecology, rescue, hazardous environments, safety and security, dependability, medical, and welfare.