The dazzling promises of AI systems to augment humans in various tasks hinge on whether
humans can appropriately rely on them. Recent research has shown that appropriate …

Trust has been recognized as a central variable to explain the resistance to using automated
systems (under-trust) and the overreliance on automated systems (over-trust). To achieve …

Trust is important in determining how drivers interact with automated vehicles. Overtrust has
contributed to fatal accidents; and distrust can hinder successful adoption of this technology …

Trust in automation is a foundational principle in Human Factors Engineering. An
understanding of trust can help predict and alter much of human-machine interaction (HMI) …

Perceived risk and trust are crucial for user acceptance of driving automation. In this study,
we identify important predictors of perceived risk and trust in a driving simulator experiment …

Technological advances in the automotive industry are bringing automated driving closer to
road use. However, one of the most important factors affecting public acceptance of …

Explanations in automated vehicles help passengers understand the vehicle's state and
capabilities, leading to increased trust in the technology. Specifically, for passengers of SAE …

This report aims to advance the discussion on those fundamental aspects to be considered
in order to have trustworthy Artificial Intelligence (AI) systems in the Automated/Autonomous …

Recent research indicates that transparent information on the behavior of automated
vehicles positively affects trust, but how such feedback should be composed and if user trust …

Highly Automated Driving technology will be facing major challenges before being
pervasively integrated across production vehicles. One of them will be monitoring drivers' …