This study is the first to provide an integrated view on the body of knowledge of artificial
intelligence (AI) published in the marketing, consumer research, and psychology literature …

This article presents a comprehensive survey of deep learning applications for object
detection and scene perception in autonomous vehicles. Unlike existing review papers, we …

Brain–computer interfaces (BCIs) development is closely related to physics. In this paper, we
review the physical principles of BCIs, and underlying novel approaches for registration …

With the recent developments in robotic process automation (RPA) and artificial intelligence
(AI), academics and industrial practitioners are now pursuing robust and adaptive decision …

The last decade witnessed a great development of automated driving vehicles (ADVs) and
vehicle intelligence. The significant increment of machine intelligence poses a new …

An important question in automated driving research is how quickly drivers take over control
of the vehicle in response to a critical event or a take-over request. Although a large number …

Connected and automated vehicles (CAVs), in the context of cooperative intelligent
transportation systems (C-ITS), are capable of exchanging information with each other and …

If you have ever tilted your head to perceive a rotated image, or programmed a smartphone
to remind you of an upcoming appointment, you have engaged in cognitive offloading: the …

In this paper, the potential effects of automated driving that are relevant to policy and society
are explored, findings discussed in literature about those effects are reviewed and areas for …

Connected and automated vehicles (CAVs) promise to significantly improve road traffic. To a
certain extent, this situation is similar to the expectations at the end of the last century about …