Managing driver attention in tomorrow's vehicles

随着车辆中驾驶员辅助和自动化程度的提高，驾驶员的角色以及他们与车辆和驾驶环境交互和通信的方式正在发生变化。这个博士项目的目的是了解驾驶员如何与这些系统进行交互，他们对这些技术的操作有何了解，特别是如何最好地使用这些车载技术的HMI来告知驾驶员，重点是未来车辆驾驶室新界面的类型和位置。研究表明，与手动驾驶相比，添加驾驶员辅助系统可以消除驾驶员与车辆控制回路的实时联系，减少他们与踏板和方向盘等车辆控制装置的物理接触和连接1。随着驾驶员对车辆的操作发生变化（SAE 1+级车辆就是这种情况），这些技术的HMI提供的信息的作用变得越来越重要。然而，尽管在过去的10-15年中增加了大量的新辅助技术，但在过去的50多年里，汽车的内部驾驶室和仪表板区域几乎没有变化。本博士将研究当前一系列用于高级驾驶员辅助系统（ADAS）的车载HMI提供的信息，警告和辅助之间的联系，以及它们如何影响驾驶员的安全和他们对驾驶任务的参与，重点关注HMI消息/位置对心理因素的影响，如驾驶员工作量，注意力不集中，情况意识，舒适度和信任度。

As the degree of driver assistance and automation in vehicles increases, the role of the driver, and the way they interact and communicate with the vehicle and driving environment is changing. The aim of this PhD project is to understand how drivers interact with such systems, what they understand about the operation of the technologies, and in particular, how the HMI of such in-vehicle technologies can be best used to inform drivers, focusing on the type and placement of new interfaces for future vehicle cabs. Research has shown that the addition of driver assistance systems can remove drivers' link to the moment to moment aspects of the vehicle's control loop, reducing their physical engagement and connection with vehicle controls, such as pedals and steering wheel, when compared to manual driving1. As the operation of the vehicle by drivers changes (which is the case for SAE Level 1+ vehicles), the role of the information provided by the HMI of such technologies becomes ever more important. However, despite the addition of a plethora of new assistive technologies over the past 10-15 years, there has been very little change to the interior cab and dashboard area of vehicles for the past 50+ years.This PhD will investigate the link between the information, warning and assistance provided by a range of current in-vehicle HMI for Advanced Driver Assistance Systems (ADAS), and how they affect drivers' safety and their engagement with the driving task, focusing on the effect of HMI messages/ placement on psychological factors such as driver workload, inattention, situation awareness, comfort and trust.