Abstract Purpose of Review To assess the state-of-the-art in research on trust in robots and
to examine if recent methodological advances can aid in the development of trustworthy …

The importance of augmenting human-technology collaborative cognition has been
envisioned as one of the fundamental ways to bolster human cognition through human …

The introduction of artificial teammates in the form of autonomous social robots, with fewer
social abilities compared to humans, presents new challenges for human–robot team …

This paper examines how people's trust and dependence on robot teammates providing
decision support varies as a function of different attributes of the robot, such as perceived …

Safety and efficiency of human-AI collaboration often depend on how humans could
appropriately calibrate their trust towards the AI agents. Over-trusting the autonomous …

Objective This paper presents a theoretical model and two simulator studies on the
psychological processes during early trust calibration in automated vehicles. Background …

As the autonomy and capabilities of robotic systems increase, they are expected to play the
role of teammates rather than tools and interact with human collaborators in a more realistic …

Trust in autonomy is essential for effective human-robot collaboration and user adoption of
autonomous systems such as robot assistants. This article introduces a computational model …

Introduction We are increasingly exposed to applications that embed some sort of artificial
intelligence (AI) algorithm, and there is a general belief that people trust any AI-based …

Automated driving has many potential benefits, such as improving driving safety and
reducing drivers' workload. However, from a human factors' perspective, one concern is that …