Automated or human: Which driver wins the race for the passengers’ trust? Examining passenger trust in human-driven and automated vehicles following a dangerous situation

IF 9 1区 心理学 Q1 PSYCHOLOGY, EXPERIMENTAL Computers in Human Behavior Pub Date : 2024-08-03 DOI:10.1016/j.chb.2024.108387
Leonie Lohaus , Marcel Woide , Nicole Damm , Zeynep Demiral , Hannah Friedrich , Anna Petáková , Francesco Walker
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Abstract

Automated vehicles (AVs) provide numerous advantages over manually operated vehicles, but the extent of these benefits depends on whether we engage with AVs safely and efficiently. To achieve such interactions with AVs, an appropriate – or calibrated – level of trust in AVs especially during critical scenarios, is fundamental. The trust level also impacts individuals' decisions regarding the utilisation of AV technology. This study investigates trust calibration and factors that influence how trust develops in AVs compared to human drivers. Two groups of participants underwent a driving simulation, experiencing either a ride in a human-driven taxi or an AV, during which a dangerous situation occurred. Before, during and after the simulation, the passengers’ trust was measured.

Pre-simulation trust was higher in the human driver than in the AV, but this difference disappeared after the simulation. Noticeably, during the simulation trust did not differ between the groups. Instead, the critical situation significantly influenced trust: following the dangerous incident, trust levels in both conditions dropped but recovered until the simulation ended. Additionally, self-esteem, which has been associated with trust in the past, was investigated. However, no significant relationship between self-esteem and trust was found in this study. Overall, the findings indicate that the dangerous situation prompted heightened caution among participants. A process of trust calibration was initiated in which the participants’ trust was highly susceptible to the driving style of the driver/AV. Moreover, the comparable evolution of trust in the human-driven vehicle and the AV, sheds light on the dynamics underlying attitudes towards AVs.

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自动驾驶还是人工驾驶:哪个驾驶员能赢得乘客的信任?考察危险情况发生后乘客对人工驾驶和自动驾驶车辆的信任度
与人工操作的车辆相比,自动驾驶车辆(AV)具有诸多优势,但这些优势的程度取决于我们是否能安全、高效地与自动驾驶车辆互动。要实现与自动驾驶汽车的这种互动,对自动驾驶汽车的适当或校准的信任度至关重要,尤其是在关键场景中。信任度也会影响个人对使用自动驾驶汽车技术的决策。与人类驾驶员相比,本研究调查了信任校准以及影响对自动驾驶汽车信任度发展的因素。两组参与者进行了模拟驾驶,体验了乘坐人类驾驶的出租车或自动驾驶汽车,期间发生了危险情况。在模拟驾驶之前、期间和之后,对乘客的信任度进行了测量。模拟驾驶之前,乘客对人类驾驶员的信任度高于对自动驾驶汽车的信任度,但在模拟驾驶之后,这种差异消失了。值得注意的是,在模拟过程中,两组之间的信任度并无差异。相反,危急情况对信任度产生了重大影响:危险事件发生后,两种情况下的信任度都有所下降,但直到模拟结束后又有所恢复。此外,我们还对自尊心进行了调查,自尊心在过去一直与信任有关。然而,本研究并未发现自尊与信任之间存在明显关系。总之,研究结果表明,危险的情境促使参与者更加谨慎。在这一过程中,参与者的信任极易受到驾驶员/自动驾驶汽车驾驶风格的影响。此外,对人类驾驶车辆和自动驾驶汽车信任度的可比演变,揭示了人们对自动驾驶汽车态度的动态变化。
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来源期刊
CiteScore
19.10
自引率
4.00%
发文量
381
审稿时长
40 days
期刊介绍: Computers in Human Behavior is a scholarly journal that explores the psychological aspects of computer use. It covers original theoretical works, research reports, literature reviews, and software and book reviews. The journal examines both the use of computers in psychology, psychiatry, and related fields, and the psychological impact of computer use on individuals, groups, and society. Articles discuss topics such as professional practice, training, research, human development, learning, cognition, personality, and social interactions. It focuses on human interactions with computers, considering the computer as a medium through which human behaviors are shaped and expressed. Professionals interested in the psychological aspects of computer use will find this journal valuable, even with limited knowledge of computers.
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