Models of Trust in Human Control of Swarms With Varied Levels of Autonomy

In this paper, we study human trust and its computational models in supervisory control of swarm robots with varied levels of autonomy (LOA) in a target foraging task. We implement three LOAs: manual, mixed-initiative (MI), and fully autonomous LOA. While the swarm in the MI LOA is controlled by a h...

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Veröffentlicht in:	IEEE transactions on human-machine systems 2020-06, Vol.50 (3), p.194-204
Hauptverfasser:	Nam, Changjoo, Walker, Phillip, Li, Huao, Lewis, Michael, Sycara, Katia
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Automation Autonomy Computational modeling Decision analysis Human–robot interaction human–swarm interaction Machine learning Markov analysis Markov processes multirobot systems Physical properties Predictive models Robot control Robot kinematics Robot sensing systems Search algorithms Supervisory control swarm robotics Task analysis trust
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