NSF-BSF: HCC: Cultural Differences in Pedestrian-Autonomous Vehicle Interaction

NSF-BSF：HCC：行人与自动驾驶车辆交互中的文化差异

• 批准号: 2212431
• 负责人: Wendy Ju
• 金额: $ 60万
• 依托单位: Cornell University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-09-01 至 2024-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2212431&HistoricalAwards=false
• 关键词: NSF; BSF; HCC; Cultural; Differences

Pedestrians communicate and negotiate with drivers implicitly and explicitly through their movement, as well as verbal communication, body language, and gaze. Mismatches in perception, understanding and action between road users can easily cause accidents. The advent of autonomy will necessitate a more explicit understanding of the complex manner in which vehicles and pedestrians interact. This research seeks to model how drivers implicitly communicate and coordinate with pedestrians on the road, and to assess how these driving interactions differ across cultures. The scientific contribution of this research will be new models of driving interaction that characterize the implicit and explicit communication and negotiation patterns that occur between road users. This research is critical to enabling autonomous vehicles to sense, respond and adapt to regional road interaction norms, and to improve safety and trust in automation. This work benefits society by considering different cultures in the development of advanced technologies in order to reduce risks associated with poor design, cultural bias or unnecessary on-road testing.The scientific contribution of this research will be new models of driving interaction that characterize the implicit and explicit communication and negotiation patterns that occur between road users. The project incorporates the collection and analysis of naturalistic data of pedestrian-vehicle interactions in the US, Israel and Denmark, the use of virtual reality simulation for experimental study using controlled scenarios with which to elicit interactive behaviors between pedestrians and drivers and the development a pedestrian-driver situation awareness model from the data collected. The team will actively engage automotive industry and academic researchers to validate models and to create a global database of pedestrian-vehicle interaction behavior.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

行人通过他们的动作，以及言语交流、肢体语言和凝视，与司机进行含蓄和明确的交流和谈判。道路使用者之间在感知、理解和行动上的不匹配很容易导致事故。自动驾驶的到来将需要更明确地理解车辆和行人相互作用的复杂方式。这项研究试图模拟司机如何隐含地与道路上的行人进行沟通和协调，并评估这些驾驶互动在不同文化中的差异。这项研究的科学贡献将是新的驾驶互动模型，该模型表征了道路使用者之间发生的隐含和显性的沟通和谈判模式。这项研究对于使自动驾驶车辆能够感知、响应和适应区域道路交互规范，以及提高自动化的安全性和信任度至关重要。这项工作通过在开发先进技术的过程中考虑不同的文化来造福社会，以减少与糟糕的设计、文化偏见或不必要的道路测试相关的风险。这项研究的科学贡献将是驾驶互动的新模型，这种模型表征了道路使用者之间发生的隐含和显性的沟通和谈判模式。该项目包括收集和分析美国、以色列和丹麦的行人-车辆相互作用的自然数据，使用虚拟现实模拟进行实验研究，使用受控场景来诱导行人和司机之间的互动行为，并根据收集的数据开发行人-司机情境感知模型。该团队将积极邀请汽车行业和学术研究人员验证模型，并创建一个关于行人-车辆相互作用行为的全球数据库。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。