Advancements and implementations of autonomous systems coincide with an increased
concern for the ethical implications resulting from their use. This is increasingly relevant as …

Introduction With the advancement of technology and the increasing utilization of AI, the
nature of human work is evolving, requiring individuals to collaborate not only with other …

Abstract Performance within Human-Autonomy Teams (HATs) is influenced by the
effectiveness of communication between humans and robots. Communication is particularly …

Objective This work examines two human–autonomy team (HAT) training approaches that
target communication and trust calibration to improve team effectiveness under degraded …

Advancements in technology, such as autonomous agents, have sparked a substantial
increase in human-autonomy teaming (HAT) research. Despite this increase in research …

Human-AI conversation provides a natural, unobtrusive, yet under-explored way to
investigate trust dynamics in human-AI teams (HATs). In this paper, we modeled dynamic …

Trust in autonomous teammates has been shown to be a key factor in human-autonomy
team (HAT) performance, and anthropomorphism is a closely related construct that is …

Although systems based on artificial intelligence can collaborate with humans on various
complex tasks, little is known about how AI systems can successfully collaborate with human …

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) …

Teams composed of human and machine members operating in complex task environments
must effectively interact in response to information flow while adapting to environmental …