With increasing autonomy in unmanned vehicles, there is potential to field large numbers of
them in distributed teams with a smaller number of human operators. The effects of human …

Formal models of multi-robot behaviour are fundamental to planning, simulation, and model
checking techniques. However, existing models are invalidated by strong assumptions that …

The proposed transition to single-pilot operations (SPO) in commercial and military aircraft
has motivated the development of advanced autonomy systems. However, a detailed …

In a multi-agent mission with failures, uncertainty, complex dependencies, and intermittent
information flow, the role of human supervisors is stressful and challenging. Alerts based on …

Multi-robot teams can be very useful in a wide variety of search and rescue missions in
challenging environments. In a mission with considerable uncertainty due to intermittent …

Railroad dispatch centers increasingly use technology to assist dispatchers as they interact
with multiple entities across a variety of tasks to ensure trains and track personnel function …

Optimizing teamwork effectiveness within human‒autonomy teams requires understanding
the communications between humans and intelligent agents at their key tasks. This report …

We explore cognitive models of the interaction between human and computational agents in
networked information recommendation and analysis. Elements in an information workflow …

This paper focuses on the attention allocation problem (AAP) in modeling multioperator multi‐
UAV (MOMU), with the operator model and task properties taken into consideration. The …

The Federal Railroad Administration sponsored a research team from Duke University to
study railroad dispatcher workload in association with automation under various scenarios …