Strangers in a Strange Land: New Experimental System for Understanding Driving Culture Using VR
Strangers in a Strange Land: New Experimental System for Understanding Driving Culture Using VR
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DOI：
10.1109/tvt.2022.3152611
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发表时间：
2022-04
影响因子：
6.8
通讯作者：
D. Goedicke;Carmel Zolkov;Natalie Friedman;Talia Wise;A. Parush;Wendy Ju
中科院分区：
文献类型：
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作者：
D. Goedicke;Carmel Zolkov;Natalie Friedman;Talia Wise;A. Parush;Wendy Ju
为了使自动驾驶汽车适应人类驾驶的当地规范，分析人类驾驶在不同地理位置的差异是至关重要的。虽然民族学家已经定性地描述了驾驶风格的地区差异，但数据驱动的统计模型可能有助于计算机驱动的汽车像当地人一样驾驶，并识别当地司机如何通过手/身体运动和车辆的运动来发出信号。为此，我们创建了一个实验系统和方法，使用多参与者虚拟现实（VR）驾驶模拟环境来描述驾驶行为和交互。该系统被设计为可移植的，并支持跨文化实验部署。我们的目标是确保系统是可操作的和功能性的，可以模拟不同的场景，生成适合分析的数据，并捕获预期的行为。我们描述了在美国和以色列进行的概念验证研究的系统、测试场景和结果。
In order for autonomous vehicles to adapt to local norms in human driving, it is critical to profile how human driving differs across geographical locations. While ethnographers have qualitatively described regional differences in driving style, data-driven statistical models might help computer-driven cars drive like locals and recognize how local drivers might be signaling through hand/body movement and motion of their vehicles. To this end, we have created an experimental system and method to profile driving behavior and interaction using a multi-participant virtual reality (VR) driving simulation environment. The system was designed to be portable and to support cross-cultural experimental deployments. We aim to make sure the system is operational and functional, can model diverse scenarios, generates data fit for analysis, and captures expected behaviors. We describe the system, test scenarios, and findings of the proof-of-concept study conducted in the U.S. and Israel.