“Peace of Mind”, An Experiential Safety Framework for Automated Driving Technology Interactions

Marika Strano, Fabricio Novak, Shelly Walbert, B. Palmeiro, Sonia Morales, Ignacio J. Alvarez
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引用次数: 1

Abstract

Current automated driving systems assume drivers continuously monitor the vehicle. Meanwhile, fully automated vehicles aim at not requiring human intervention for their safely operation. The industry is currently debating how these novel systems can be certified under functional safety standards. In this paper, we argue that the current safety picture is not comprehensive enough, since it alienates users. We propose experiential safety as a complement to existing functional safety and to develop a framework for experiential safety interactions between the user and automation in automated driving environments. To support the experiential safety design model, we provide an overview of the user-centered research on experiential automation safety, which includes results from online surveys, personal interviews, and gamified group workshops. We explore current user behaviors by focusing on what makes them feel safe as drivers and passengers, and how unexpected events and automation responses might impact their perception of safety. Among the highlighted results, we show how mismatched expectations and unexpected behaviors from autonomous vehicles can lead to frustration and compromised trust. We also show how automation feedback to the user can generate stress and anxiety if not properly configured and how a cooperative relationship between automation and the driver leads to more satisfying driving experiences. Finally, we present guidelines for the experiential safety to be applied by automotive engineers and designers in their development of automated driving technologies.
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“安心”,自动驾驶技术交互的体验式安全框架
目前的自动驾驶系统假设驾驶员持续监控车辆。与此同时,全自动汽车的目标是不需要人为干预,以确保其安全运行。该行业目前正在讨论如何根据功能安全标准认证这些新型系统。在本文中,我们认为目前的安全情况还不够全面,因为它疏远了用户。我们建议将体验式安全作为现有功能安全的补充,并为自动驾驶环境中用户与自动化之间的体验式安全交互开发一个框架。为了支持体验式安全设计模型,我们概述了以用户为中心的体验式自动化安全研究,其中包括在线调查、个人访谈和游戏化小组研讨会的结果。我们通过关注是什么让他们作为司机和乘客感到安全,以及意外事件和自动化响应如何影响他们对安全的感知,来探索当前的用户行为。在突出显示的结果中,我们展示了自动驾驶汽车的不匹配期望和意外行为如何导致沮丧和信任受损。我们还展示了如果配置不当,自动反馈如何给用户带来压力和焦虑,以及自动化和驾驶员之间的合作关系如何带来更令人满意的驾驶体验。最后,我们提出了汽车工程师和设计师在开发自动驾驶技术时应用的经验安全指南。
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