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Users' acceptance of private automated vehicles: A systematic review and meta-analysis

机译:用户对私人自动驾驶汽车的接受度:系统评价和荟萃分析

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Introduction: This research systematically reviewed relevant studies on users' acceptance of conditional (Level 3) to full (Level 5) automated vehicles when such vehicles are to be used privately (herein referred to as 'private automated vehicles or private AVs). Method: The search followed the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines, and was undertaken in three databases: APA PsycINFO, Transport Research International Documentation, and Web of Science. Articles were required to focus on individuals' acceptance of private SAE Level 3-5 AVs. Acceptance was defined as individuals' attitudes towards or intentions and/or willingness to use AVs in the future. A total of 2,354 articles were identified in the database search. Thirty-five articles were included in the review, six of which included multiple studies and/or comparison groups. Results: Most studies (n = 31) applied self-reported measures to assess user acceptance together with a range of psychosocial factors predicting such acceptance. The meta-analytic correlations revealed that perceived behavioral control, perceived benefits/usefulness, perceived ease of use, and subjective/social norms had significant positive pooled relationships with attitudes and intentions. Trust and sensation seeking also had significant positive pooled correlations with intentions, while knowledge of AVs had a significant and negative pooled correlation with intentions. Age did not show any significant pooled relationship with attitudes, intentions, or willingness. Conclusions: The findings obtained from the systematic review and meta-analysis provide support for psychosocial models to aid understanding of users' acceptance of private AVs. Practical applications: Examining acceptance of AVs after participants have experienced these vehicles on closed tracks or open roads would advance contemporary knowledge of users' intentions to use these vehicles in the future. Further, experiencing these vehicles firsthand may also help with addressing any perceived barriers reducing acceptance of future use of private AVs. (c) 2021 National Safety Council and Elsevier Ltd. All rights reserved.
机译:简介:本研究系统回顾了用户在私人使用有条件(3级)至完全(5级)自动驾驶汽车(以下简称“私人自动驾驶汽车或私人自动驾驶汽车”)时接受度的相关研究。方法:检索遵循系统综述和荟萃分析的首选报告项目(PRISMA)指南,并在三个数据库中进行:APA PsycINFO、Transport Research International Documentation和Web of Science。文章必须重点关注个人对私人 SAE 3-5 级 AV 的接受程度。接受度被定义为个人对未来使用自动驾驶汽车的态度或意图和/或意愿。在数据库检索中共确定了2,354篇文章。本综述共纳入35篇文章,其中6篇纳入多项研究和/或对照组。结果:大多数研究(n=31)应用自我报告的措施来评估用户接受度以及预测这种接受度的一系列社会心理因素。荟萃分析相关性表明,感知行为控制、感知到的好处/有用性、感知的易用性和主观/社会规范与态度和意图具有显著的正相关关系。信任和感觉寻求也与意图有显著的正相关,而自动驾驶汽车知识与意图有显著的负相关。年龄与态度、意图或意愿没有显示出任何显着的共同关系。结论:系统评价和荟萃分析的结果为社会心理模型提供了支持,以帮助理解用户对私人自动驾驶汽车的接受程度。实际应用:在参与者在封闭的轨道或开放的道路上体验过这些车辆后,检查对自动驾驶汽车的接受程度,将促进对用户未来使用这些车辆的意图的当代知识。此外,亲身体验这些车辆也可能有助于解决任何降低未来使用私人自动驾驶汽车接受度的障碍。(c) 2021 年国家安全委员会和爱思唯尔有限公司。保留所有权利。

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