Distracted driving is a major cause of road fatalities. With improvements in driver (in)attention detection, these distracted situations can be caught early to alert drivers and improve road safety and comfort. However, drivers may have differing preferences for the modes of such communication based on the driving scenario and their current distraction state. To this end, we present an (N=147) where videos of simulated driving scenarios were utilized to learn drivers preferences for modes of communication and their evolution with the drivers changing attention. The survey queried participants preferred modes of communication for scenarios such as collisions or stagnation at a green light. that inform the future of communication between drivers and their vehicles. We showcase the different driver preferences based on the nature of the driving scenario and also show that they evolve as the drivers distraction state changes

翻译：分心驾驶是导致道路死亡事故的主要原因。随着驾驶员（非）注意力检测技术的改进，这些分心状态能够被及早发现，从而警示驾驶员并提升道路安全性与舒适性。然而，根据驾驶场景及当前分心状态，驾驶员可能对通信方式存在不同偏好。为此，我们开展了一项（N=147）研究，利用模拟驾驶场景视频来探究驾驶员对通信方式的偏好及其随注意力变化而演变的过程。该调查询问了参与者针对诸如碰撞或绿灯停滞等场景的偏好通信方式。这些发现为未来驾驶员与车辆间的通信设计提供了依据。我们展示了基于驾驶场景性质的不同驾驶员偏好，并证明这些偏好会随着驾驶员分心状态的变化而演变。