The 21st century is the age of automation. The automotive industry is converging towards
deployment of complete automation by 2030. But are humans ready for it, or will they be …

The adoption process of innovative software-intensive technologies leverages complex trust
concerns in different forms and shapes. Perceived safety plays a fundamental role in …

Autonomous systems have the potential to accomplish missions more quickly and
effectively, while reducing risks to human operators and costs. However, since the use of …

Unmanned aerial systems (UASs) are prone to several cyber-physical attacks, which
decrease the performance of the network and may cause damage to the unmanned aerial …

Trust is an important characteristic of successful interactions between humans and agents in
many scenarios. Self-driving scenarios are of particular relevance when discussing the …

Trust calibration is essential to successful cooperation between humans and autonomous
systems such as those for self-driving cars and autonomous drones. If users over-estimate …

Trust in automation, or more recently trust in autonomy, has received extensive research
attention in the past three decades. The majority of prior literature adopted a “snapshot” view …

Intelligent Vehicles (IVs), integrating sensing, communication, and computing technologies,
have immense potential to elevate efficiency, reduce traffic accidents, and diminish …

Smart cities equipped with intelligent devices can enhance the lifestyle and quality of
humans by automatically and collaboratively acting as a sustainable resource to the …

Trust miscalibration issues, represented by undertrust and overtrust, hinder the interaction
between drivers and self-driving vehicles. A modern challenge for automotive engineers is …