With the rise of automated and autonomous agents, research examining Trust in Automation
(TiA) has attracted considerable attention over the last few decades. Trust is a rich and …

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 spread of AI-embedded systems involved in human decision making makes studying
human trust in these systems critical. However, empirically investigating trust is challenging …

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 …

Modern interactions with technology are increasingly moving away from simple human use
of computers as tools to the establishment of human relationships with autonomous entities …

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 …

The lack of transparency of powerful Machine Learning systems paired with their growth in
popularity over the last decade led to the emergence of the eXplainable Artificial Intelligence …

Intelligent agents must be able to communicate intentions and explain their decision-making
processes to build trust, foster confidence, and improve human-agent team dynamics …

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 …