Towards Multi-UAV and Human Interaction Driving System Exploiting Human Mental State Estimation

Gaganpreet Singh (1) , Raphaëlle N. Roy (1) , Caroline Ponzoni Carvalho Chanel (1)

1 DCAS - Département Conception et conduite des véhicules Aéronautiques et Spatiaux

This paper addresses the growing human-multi-UAV interaction issue. Current active approaches towards a reliable multi-UAV system are reviewed. This brings us to the conclusion that the multiple Unmanned Aerial Vehicles (UAVs) control paradigm is segmented into two main scopes: i) autonomous control and coordination within the group of UAVs, and ii) a human centered approach with helping agents and overt behavior monitoring. Therefore, to move further with the future of human-multi-UAV interaction problem, a new perspective is put forth. In the following sections, a brief understanding of the system is provided, followed by the current state of multi-UAV research and how taking the human pilot's physiology into account could improve the interaction. This idea is developed first by detailing what physiological computing is, including mental states of interest and their associated physiological markers. Second, the article concludes with the proposed approach for Human-multi-UAV interaction control and future plans.

Mots clés: Unmanned Aerial Vehicles (UAV); Multi-UAVs and Human Interaction; Manned-Unmanned Teaming (MUM-T); Mental Workload; Engagement; Physiological Computing

Domaines: Interface homme-machine [cs.HC]; Neurosciences

Gaganpreet Singh, Raphaëlle N. Roy, Caroline Ponzoni Carvalho Chanel. Towards Multi-UAV and Human Interaction Driving System Exploiting Human Mental State Estimation. 10th International Conference on Bioinformatics Models, Methods and Algorithms (BIOINFORMATICS 2019), Feb 2019, Prague, Czech Republic. ⟨hal-02042960⟩