Using Simulation-software-generated Animations to Investigate Attitudes Towards Autonomous Vehicles Accidents

Using Simulation-software-generated Animations to Investigate Attitudes Towards Autonomous Vehicles Accidents
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使用仿真软件生成的动画来调查人们对自动驾驶汽车事故的态度

DOI:
10.1016/j.procs.2022.09.410
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发表时间:
2022
期刊:
Procedia Computer Science
影响因子:
--
通讯作者:
Zhang Q
Zhang Q
中科院分区:
--
文献类型:
--
作者:
Zhang Q

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涉及自动驾驶汽车的道路事故是不可避免的,有可能损害公众对这项技术的信心,并最终导致其停用。重要的是要了解人们对这类事件的反应,以及责任归因和恢复信任的影响因素。这一领域的研究已经开始增长,但面临着一个巨大的方法学挑战,即开发高保真的实验刺激作为事故场景的真实表示,以便引起人类参与者的有效反应。本文回顾和评价了该研究领域现有的几种方法,并提出了一种利用驾驶模拟软件生成事故动画序列的替代方法。有人认为,这种方法在保真度、通用性和成本效益之间取得了良好的平衡。我们还提供了一些初步证据,证明使用这种方法进行变量操作是有效的。
Road accidents involving autonomous vehicles are inevitable and have the potential to damage the public's confidence in the technology and ultimately result in its disuse. It's important to understand how people react to such incidents and the influencing factors of blame attribution and trust restoration. Research in this field has started to grow but faces a huge methodological challenge, which is to develop high-fidelity experimental stimuli as realistic representations of accident scenarios in order to elicit valid reactions from human participants. The present paper reviews and evaluates several existing methods used in the research field before proposing an alternative method of generating animated accident sequence using driving simulation software. It is argued that this method strikes a good balance of fidelity, versatility and cost-effectiveness. We also present some preliminary evidence for the effectiveness of variable manipulation using such a methodology.
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