Human-Agent Interaction: Case Studies in Human Supervised UAV

In this paper we offer case studies of empowering agents with adjustment of cognitive notions of autonomy and trust that enable them to have a more socially adept interaction with a human supervisor. The application domain is control of unmanned aerial vehicles. Agents learn to change autonomies as they observe they learn the relationship between their assumed autonomy and performance. Agents also learn to change their reliance on human supervision as it takes different lengths of time.