Lack of trust in or acceptance of technology are some of the fundamental problems that might prevent the dissemination of automated driving. Technological advances, such as augmented reality aids like full-sized windshield displays or AR contact lenses, could be of help to provide a better system understanding to the user. In this work, we picked up on the question of whether augmented reality assistance has the potential to increase user acceptance and trust by communicating system decisions (i.e., transparent system behavior). To prove our hypothesis, we conducted two driving simulator studies to investigate the benefit of scenario augmentation in fully automated driving—first in normal (N=26) and then in rearward viewing (N=18) direction. Quantitative results indicate that the augmentation of traffic objects/participants otherwise invisible (e.g., due to dense fog), or the presentation of upcoming driving maneuvers while sitting backwards, is a feasible approach to increase user acceptance and trust. Results are further backed by qualitative findings from semistructured interviews and UX curves (a method to retrospectively report experience over time). We conclude that the application of augmented reality, in particular with the emergence of more powerful, lightweight, or integrated devices, is a good opportunity with high potential for automated driving.

中文翻译：

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培养用户对全自动车辆的接受度和信任度：评估增强现实的潜力

对技术缺乏信任或接受是可能阻止自动驾驶传播的一些基本问题。技术进步，例如全尺寸挡风玻璃显示器或 AR 隐形眼镜等增强现实辅助设备，可能有助于为用户提供更好的系统理解。在这项工作中，我们提出了一个问题，即增强现实辅助是否有可能通过传达系统决策（即透明的系统行为）来提高用户的接受度和信任度。为了证明我们的假设，我们进行了两项驾驶模拟器研究，以调查场景增强在全自动驾驶中的好处——首先是在正常 (N=26) 方向，然后是在后视 (N=18) 方向。定量结果表明，交通对象/参与者的增加在其他方面是不可见的（例如。例如，由于浓雾），或者在向后坐的情况下展示即将进行的驾驶操作，是增加用户接受度和信任度的可行方法。结果得到了半结构化访谈和用户体验曲线（一种随着时间的推移回顾性报告经验的方法）的定性发现的进一步支持。我们得出结论，增强现实的应用，特别是随着更强大、更轻量或集成设备的出现，是自动驾驶潜力巨大的好机会。