Objective Identify a critical research gap for the human factors community that has
implications for successful human–automation teaming. Background There are a variety of …

The interaction between humans and robot teams is highly relevant in many application
domains, for example in collaborative manufacturing, search and rescue, and logistics. It is …

Abstract System autonomy and AI are being developed for a wide variety of applications
where they will likely work in tandem with people, forming human-AI teams (HAT). Situation …

In response to calls for research to improve human-machine teaming (HMT), we present a
“perspective” paper that explores techniques from computer science that can enhance …

This paper presents the findings of detailed and comprehensive technical literature aimed at
identifying the current and future research challenges of tactical autonomy. It discusses in …

Human labeling of training data is often a time-consuming, expensive part of machine
learning. In this paper, we study" batch labeling", an AI-assisted UX paradigm, that aids data …

Recent technological developments have shown a transition from informative driving
support systems to more automated vehicles. Although automated vehicles are designed to …

Future applications are envisioned in which a single human operator manages multiple
heterogeneous unmanned vehicles (UVs) by working together with an autonomy teammate …

Background: Intelligent assistants (IAs), also known as intelligent agents, use artificial
intelligence to help users achieve a goal or complete a task. IAs represent a potential …

One of the main challenges to face concerning the safe utilization of new technologies in
complex systems concerns the level of trust the operators have in the system. Danger exists …