The theoretical concept of trust has been identified as highly important to the successful
design of intelligent technologies such as autonomous vehicles (AVs). In human-centred …

While autonomous vehicle technology progresses, potentially leading to a safer and more
efficient traffic environment, many challenges remain within the area of human factors, such …

While automated vehicle technology progresses, potentially leading to a safer and more
efficient traffic environment, many challenges remain within the area of human factors, such …

Although manufacturers and experts consider autonomous vehicles (AVs) as a much safer
alternative than traditional human-driven vehicles, the lack of trust and high perceived risk …

Trust is important for users' acceptance and adoption of automated vehicles (AVs). Previous
research has mainly focused on what information affects user trust in AVs and how the user's …

Technological innovations have made driving automation closer and closer to reality.
Despite this, the adoption of highly automated driving by the public is not guaranteed yet …

Trust is a vital determinant of acceptance of automated vehicles (AVs) and expectations and
explanations are often at the heart of any trusting relationship. Once expectations have been …

Automated vehicles (AVs) are one critical application area of artificial intelligence (AI).
However, a lack of appropriate trust can be a major barrier to successfully introducing AVs …

Trust is a major determinant of acceptance of an autonomous vehicle (AV), and a lack of
appropriate trust could prevent drivers and society in general from taking advantage of such …

To prompt the use of driving automation in an appropriate and safe manner, system
designers require knowledge about the dynamics of driver trust. To enhance this knowledge …