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.
@article{arxiv.1909.10090,
title = {Towards Explainability for a Civilian UAV Fleet Management using an Agent-based Approach},
author = {Yazan Mualla and Amro Najjar and Timotheus Kampik and Igor Tchappi and Stéphane Galland and Christophe Nicolle},
journal= {arXiv preprint arXiv:1909.10090},
year = {2019}
}