结合WOz测试和骑行视频人种学:推进混合交通环境下自动驾驶汽车开发的方法

Katalin Osz, K. Raats, Vaike Fors, S. Pink, Thomas Lindgren
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引用次数: 8

摘要

在自动驾驶(AD)汽车开发的背景下,实验性的“绿野仙踪”(WOz)用户体验(UX)研究正变得更加跨学科、以人为中心,并对创新的方法论合作持开放态度。在本文中,我们展示了一种混合方法来研究人们如何参与和理解日常生活环境中尚未存在的自动化功能。我们介绍了WOz测试和人种学骑行的结合是如何发展起来的,以及这两种不同的方法如何相互受益。我们选择了两个日常驾驶的例子——从t型路口出来和在高速公路上变道——来展示混合这些方法的价值。我们建议,通过建立新的协作测试实践,我们可以创造一种更加以日常生活为导向的方法,更好地关注人们的体验、想象和对未来驾驶可能的预测,这对于将其纳入混合交通环境的自动驾驶汽车设计尤为重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Combining WOz testing and ride along video ethnographies: advancing methodologies for autonomous driving car development for mixed traffic environments
Experimental 'Wizard of Oz' (WOz) User Experience (UX) research in the context of Autonomous Driving (AD) car development is becoming more interdisciplinary, human-centric and open to innovative methodological collaborations. In this paper, we demonstrate a mixed-methodological approach to research how people engage with and make sense of automated features that do not yet exist in everyday life contexts. We present how the combination of WOz testing and ethnographic ride-alongs have been developed and how the two different approaches can benefit from each other. We selected two everyday driving examples - emerging from T-junction and changing lane on the motorway - to demonstrate the value of mixing these methodologies. We propose that by building new collaborative test practices, we can create a more everyday-life oriented approach that better attends to people's experiences, imaginaries and projections into possible futures of driving, which is particularly important to incorporate in AD vehicle design for mixed traffic environments.
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