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 …

This study was motivated by the observed growth and increased significance of situation
awareness (SA) in recent years. Despite its acknowledged importance, a notable gap exists …

Artificial Intelligence (AI) holds great potential for the military domain but is also seen as
prone to data bias and lacking transparency and explainability. In order to advance the …

Abstract Bainbridge's Ironies of Automation was a prescient description of automation
related challenges for human performance that have characterised much of the 40 years …

Identifying the cognitive workload of operators is crucial in complex human-automation
collaboration systems. An excessive workload can lead to fatigue or accidents, while an …

Ongoing trends in society point towards the adoption of intelligent agents across safety
critical industries. In the maritime domain, artificially intelligent agents may soon be capable …

Objective To examine the extent to which increased automation transparency can mitigate
the potential negative effects of low and high automation reliability on disuse and misuse of …

Background Artificial intelligence–generated content (AIGC) has stepped into the spotlight
with the emergence of ChatGPT, making effective use of AIGC for education a hot topic …

Multiple unmanned system control is a complex command and control endeavor but pairing
human operators with an intelligent agent (IA) teammate can buttress the collection and …

Trust is critical for human-automation collaboration, especially under safety-critical tasks
such as driving. Providing explainable information on how the automation system reaches …