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 …

Researchers are beginning to transition from studying human–automation interaction to
human–autonomy teaming. This distinction has been highlighted in recent literature, and …

Transparency is a widely used but poorly defined term within the explainable artificial
intelligence literature. This is due, in part, to the lack of an agreed definition and the overlap …

A key challenge in human–swarm interaction is to design a usable interface that allows the
human operators to monitor and control a scalable swarm. In our study, we restrict the …

We develop a resilient binary hypothesis testing frame-work for decision making in
adversarial multi-robot crowdsensing tasks. This framework exploits stochastic trust …

In this article, we characterize the advantage of using a robot's neighborhood to find and
eliminate adversarial robots in the presence of a Sybil attack. We show that by leveraging …

Objective The effects of asset degradation on trust in human-swarm interaction were
investigated through the lens of system-wide trust theory. Background Researchers have …

Automation reliability and transparency are key factors for trust calibration and as such can
have distinct effects on human reliance behaviour and mission performance. One question …

Trust between team members is an essential requirement for any successful cooperation.
Thus, engendering and maintaining the fellow team members' trust becomes a central …

Swarm robots are coordinated via simple control laws to generate emergent behaviors such
as flocking, rendezvous, and deployment. Human-swarm teaming has been widely …