With the increasing development of Augmented reality (AR),
the number of its purposes and applications in vehicles rises. Augmented reality may help to increase road safety,support more immersive (non-)driving related activities, and finally enhance driving and passenger experience. AR may also be the enabling technology to increase trust and acceptance in automated vehicles and therefore help on thetransition towards automated driving. Further, automated driving extends use cases of augmented and other immersive technologies. However, there are still a number of challenges with the use of augmented reality when applied in vehicles, and also several human factors issues need to be solved. Additionally, Virtual reality (VR) has the potential to simulate AR applications for HCI research. In this workshop, we will discuss potentials and constraints as well as impact, role, and adequacy of AR and VR (mixed reality, MR) in driving applications and simulations. The primary goal of this workshop is to define a research agenda for the use of MR in intelligent vehicles within the next 3 to 5 years and beyond.
Technology for AR in driving is not yet technically mature for practical use in vehicles [4]. Challenges that need to be solved include computation and perception issues, such as accurate capturing and interpretation of road geometry, precise vehicle positioning, compensation for vibrations, driver monitoring and implementation of sophisticated algorithms to create precise augmentation content in the driver’s field of view, and others. Additionally, physical, cognitive, and experiential issues (e.g., focus change in AR systems causing eye strain; dissonance in equilibrium sense causing simulator sickness; change blindness; cognitive over-load, driver and passenger experience) need to be tackled as well. Therefore, a holistic understanding of AR use in driving is required in order to be able to address and solve these issues.