On-Road and Online Studies to Investigate Beliefs and Behaviors of Netherlands, US and Mexico Pedestrians Encountering Hidden-Driver Vehicles

On-Road and Online Studies to Investigate Beliefs and Behaviors of Netherlands, US and Mexico Pedestrians Encountering Hidden-Driver Vehicles
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道路和在线研究调查荷兰、美国和墨西哥行人遇到隐藏驾驶车辆的信念和行为

DOI:
10.1145/3319502.3374790
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发表时间:
2020
期刊:
2020 15th ACM/IEEE International Conference on Human-Robot Interaction (HRI)
影响因子:
--
通讯作者:
Wendy Ju
Wendy Ju
中科院分区:
--
文献类型:
--
作者:
Jamy J. Li;Rebecca M. Currano;D. Sirkin;D. Goedicke;Hamish Tennent;Aaron Levine;V. Evers;Wendy Ju

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越来越多的研究使用由穿着汽车座椅服装的人驾驶的“幽灵驾驶员”车辆来模拟自动驾驶车辆。在荷兰的一项实地研究中使用了隐藏驾驶员车辆,研究1(N=130)证实了ghostdriver方法在欧洲是有效的,并证实了欧洲行人在遇到隐藏驾驶员车辆时会改变他们的行为。作为过去研究的重要扩展,我们发现行人群体的规模与他们的行为有关:当遇到自动驾驶汽车时,群体看起来比单人更长,但当遇到普通车辆时,看起来比单人更短的时间。研究2(N=101)调整和扩展隐藏的驱动程序的方法,以测试它是否是可信的在线视频刺激,以及汽车的特点和参与者的感受是否与行人谁看到隐藏的驱动程序的车辆的信念和行为。正如预期的那样,与实地研究相比,视频中隐藏驾驶员车辆的置信率较低。重要的是,我们发现注意到没有司机是对汽车自主性的唯一重要预测,这加强了使用ghostdriver方法的先前理由。我们的贡献是复制的隐藏的驱动程序的方法在欧洲和过去的美国和墨西哥的数据比较;的ghostdriver方法的视频形式的扩展和评估;证据的必要性隐藏的驱动程序在创建车辆自主的错觉;和扩展分析行人群体的大小和感受如何与行人的行为时,遇到一个隐藏的驱动程序的车辆。CCS概念·以人为中心的计算→实地研究;人机交互的实证研究;交互设计的实证研究。ACM参考格式:Jamy Li,Rebecca Currano,大卫瑟金,大卫戈迪克,哈米什·特南特,亚伦·莱文,瓦妮莎·埃弗斯和温迪·朱。2020.道路和在线研究,以调查荷兰,美国和墨西哥行人遇到隐藏司机车辆的信念和行为。在2020年ACM/IEEE人机交互国际会议(HRI '20)的会议记录中,2020年3月23日至26日,英国剑桥。ACM,纽约,NY,美国,9页。https://doi.org/10.1145/3319502.3374790
A growing number of studies use a “ghost-driver” vehicle driven by a person in a car seat costume to simulate an autonomous vehicle. Using a hidden-driver vehicle in a field study in the Netherlands, Study 1 (N=130) confirmed that the ghostdriver methodology is valid in Europe and confirmed that European pedestrians change their behavior when encountering a hidden-driver vehicle. As an important extension to past research, we find pedestrian group size is associated with their behavior: groups look longer than singletons when encountering an autonomous vehicle, but look for less time than singletons when encountering a normal vehicle. Study 2 (N=101) adapted and extended the hidden-driver method to test whether it is believable as online video stimuli and whether car characteristics and participant feelings are related to the beliefs and behavior of pedestrians who see hidden-driver vehicles. As expected, belief rates were lower for hidden-driver vehicles seen in videos compared to in a field study. Importantly, we found noticing no driver was the only significant predictor of belief in car autonomy, which reinforces prior justification for the use of the ghostdriver method. Our contributions are a replication of the hidden-driver method in Europe and comparisons with past US and Mexico data; an extension and evaluation of the ghostdriver method in video form; evidence of the necessity of the hidden driver in creating the illusion of vehicle autonomy; and an extended analysis of how pedestrian group size and feelings relate to pedestrian behavior when encountering a hidden-driver vehicle. CCS CONCEPTS • Human-centered computing→Field studies; Empirical studies in HCI; Empirical studies in interaction design. ACM Reference Format: Jamy Li, Rebecca Currano, David Sirkin, David Goedicke, Hamish Tennent, Aaron Levine, Vanessa Evers, and Wendy Ju. 2020. On-Road and Online Studies to Investigate Beliefs and Behaviors of Netherlands, US and Mexico Pedestrians Encountering Hidden-Driver Vehicles. In Proceedings of the 2020 ACM/IEEE International Conference on Human-Robot Interaction (HRI ’20), March 23–26, 2020, Cambridge, United Kingdom. ACM, New York, NY, USA, 9 pages. https://doi.org/10.1145/3319502.3374790
DOI: 10.1093/beheco/arq141
发表时间: 2010-11-01
期刊: BEHAVIORAL ECOLOGY
影响因子: 2.4
作者:
Faria, Jolyon J.;Krause, Stefan;Krause, Jens
通讯作者: Krause, Jens