Towards Explainability for a Civilian UAV Fleet Management using an
  Agent-based Approach
  This paper presents an initial design concept and specification of a civilian
Unmanned Aerial Vehicle (UAV) management simulation system that focuses on
explainability for the human-in-the-loop control of semi-autonomous UAVs. The
goal of the system is to facilitate the operator intervention in critical
scenarios (e.g. avoid safety issues or financial risks). Explainability is
supported via user-friendly abstractions on Belief-Desire-Intention agents. To
evaluate the effectiveness of the system, a human-computer interaction study is
proposed.
