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 a user study (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. We validate our hypotheses and provide key results 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 fatalities 的主要原因。随着驾驶员（不）注意力检测技术的进步，这些分心情况可以被及早捕捉以提醒驾驶员，从而提高道路安全性和舒适性。然而，基于驾驶场景和驾驶员当前的分心状态，驾驶员可能对这些通信模式有不同的偏好。为此，我们开展了一项用户研究（N=147），利用模拟驾驶场景的视频来了解驾驶员对通信模式的偏好以及这些偏好如何随注意力变化而演变。调查问卷询问了参与者在各种场景（如碰撞或绿灯时停滞）中偏好的通信模式。我们验证了假设，并提供了关键结果，为驾驶员与车辆之间的未来通信提供了参考。我们展示了基于驾驶场景性质的驾驶员不同偏好，并表明这些偏好在驾驶员分心状态变化时会发生演变。