To Walk or Not to Walk: Crowdsourced Assessment of External Vehicle-to-Pedestrian Displays
To Walk or Not to Walk: Crowdsourced Assessment of External Vehicle-to-Pedestrian Displays
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走路还是不走路：外部车对行人显示器的众包评估
DOI：
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发表时间：
2017
期刊：
影响因子：
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通讯作者：
B. Reimer
中科院分区：
文献类型：
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作者：
Alex Fridman;Bruce Mehler;Lei Xia;Yan Yang;L. Y. Facusse;B. Reimer
研究人员、技术评论家和政府机构表示担心，自动化可能需要引入额外的显示器，以在车辆与行人的互动中指示车辆意图。一种自动化的在线方法，用于获得30个外部车辆对行人展示概念的沟通意图感知，并使用Amazon Machic Turk进行了测试。来自200名合格参与者的数据被迅速获得并处理。除了对这些特定设计概念进行有用的早期评估外，测试还表明，该方法是可扩展的，因此可以通过一系列运行来评估大量设计元素或微小变化，甚至在几个小时内对大得多的样本进行评估。使用这种方法，设计人员应该能够比可用的开发资源通常所允许的更快、更深入地提炼概念。对实施车辆对行人显示的常见假设提出了一些关注和问题。
Researchers, technology reviewers, and governmental agencies have expressed concern that automation may necessitate the introduction of added displays to indicate vehicle intent in vehicle-to-pedestrian interactions. An automated online methodology for obtaining communication intent perceptions for 30 external vehicle-to-pedestrian display concepts was implemented and tested using Amazon Mechanic Turk. Data from 200 qualified participants was quickly obtained and processed. In addition to producing a useful early-stage evaluation of these specific design concepts, the test demonstrated that the methodology is scalable so that a large number of design elements or minor variations can be assessed through a series of runs even on much larger samples in a matter of hours. Using this approach, designers should be able to refine concepts both more quickly and in more depth than available development resources typically allow. Some concerns and questions about common assumptions related to the implementation of vehicle-to-pedestrian displays are posed.