The rapid advancements in artificial intelligence (AI) have led to a growing trend of human-
AI teaming (HAT) in various fields. As machines continue to evolve from mere automation to …

As long as the human driver is responsible for part (s) of the driving task during automated
driving, the driver and automated driving system are sharing the driving task. Such a shared …

This paper draws on three case studies to examine some of the challenges and tensions
involved in the use of Autonomous Decision-Making Systems (ADMS). In particular, the …

Shared control algorithms have emerged as a promising approach for enabling real-time
driver automated system cooperation in automated vehicles. These algorithms allow human …

The modeling of distracted driving behavior has been studied for many years, however,
there remain many distraction phenomena that can not be fully modeled. This study …

Driver assistance technologies have rapidly advanced. However, using partially automated
driving systems in urban environments is still challenging. The potential disuse of driving …

In autonomous driving vehicles, the heterogeneity between human and automation agents
can cause conflicts in decision-making and behaviour due to the difference in perception of …

We propose the concept of directive driving automation that positively influences drivers'
intentions to achieve shared goals. As a step toward directive driving automation, this survey …

The number of Autonomous Vehicles (AVs) coexisting with conventional human-driven
vehicles is expected to increase significantly in the coming years. This coexistence will last …

The advancement of artificial intelligence (AI) potential in autonomous systems and robotics
has moved researchers towards understanding the distinctive dynamics of human autonomy …