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

行人通过他们的运动，以及口头交流，肢体语言和凝视，含蓄和明确地与司机沟通和协商。道路使用者之间在感知、理解和行动上的不匹配很容易造成事故。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。这项研究旨在模拟驾驶员如何与道路上的行人进行隐性沟通和协调，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驾驶互动的新模式，其特点是道路使用者之间发生的隐式和显式的沟通和谈判模式。 这项研究对于使自动驾驶汽车能够感知、响应和适应区域道路互动规范，以及提高自动驾驶的安全性和信任度至关重要。这项工作有利于社会，考虑不同的文化在先进技术的发展，以减少与不良设计，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新的驾驶互动模式，其特点是隐含和明确的沟通和谈判模式，发生在道路使用者之间。该项目包括收集和分析在美国，以色列和丹麦的行人-车辆相互作用的自然数据，使用虚拟现实模拟的实验研究，使用控制的场景，以引起行人和司机之间的互动行为和开发一个行人-司机的情况下，从收集的数据意识模型。该团队将积极与汽车行业和学术研究人员合作，验证模型并创建人车互动行为的全球数据库。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的评估被认为值得支持影响审查标准。

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.