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

Trust is vital for effective human-robot teams. Trust is unstable, however, and it changes over
time, with decreases in trust occurring when robots make mistakes. In such cases, certain …

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

Robots like human co-workers can make mistakes violating a human's trust in them. When
mistakes happen, humans can see robots as less trustworthy which ultimately decreases …

Trust has been recognized as a central variable to explain the resistance to using automated
systems (under-trust) and the overreliance on automated systems (over-trust). To achieve …

Objective Determining the efficacy of two trust repair strategies (apology and denial) for trust
violations of an ethical nature by an autonomous teammate. Background While ethics in …

Human–artificial intelligence (AI) teaming is a service system in which AI agents work
interdependently toward a common goal alongside human agents. Although many …

Robotic systems designed to work alongside people are susceptible to technical and
unexpected errors. Prior work has investigated a variety of strategies aimed at repairing …

Interaction and cooperation with humans are overarching aspirations of artificial intelligence
research. Recent studies demonstrate that AI agents trained with deep reinforcement …

The performance of a driving automation system (DAS) can influence the human drivers'
trust in the system. This driving-simulator study examined how different types of DAS failures …