Objective: We investigated the effects of level of agent transparency on operator
performance, trust, and workload in a context of human–agent teaming for multirobot …

In this paper, the performance and characteristics of the execution of various join-trees on a
parallel DBMS are studied. The results of this study are a step into the direction of the design …

The KAoS policy management framework pioneered the use of semantically-rich ontological
representation and reasoning to specify, analyze, deconflict, and enforce policies [9, 10] …

Dr. Greg Zacharias, Chief Scientist of the United States Air Force 2015-18, explores next
steps in autonomous systems AS development, fielding, and training. Rapid advances in AS …

For effective human-robot interaction, we argue that robots must gain social-cognitive
mechanisms that allow them to function naturally and intuitively during social interactions …

Previously, it was shown that some people are better coordinators than others; however, the
relative weight of intuitive (system 1) versus deliberate (system 2) modes of thinking in tacit …

We study the sparsity and optimality properties of crowd navigation and find that existing
techniques do not satisfy both criteria simultaneously: either they achieve optimality with a …

In autonomous multiagent or multirobotic systems, the ability to quickly and accurately
respond to threats and uncertainties is important for both mission outcomes and survivability …

As intelligent systems are increasingly capable of performing their tasks without the need for
continuous human input, direction, or supervision, new human-machine interaction concepts …

Teamwork has become an important research field and its contribution to organizational
performance has attracted attention of researchers from several disciplines. The …