Exploratory scaling of human-swarm hybrid systems to manage simultaneous scenarios

Humans and swarms have different problem-solving skillsets. Hybrid systems blending those skillsets in an effective manner can produce a solution that outperforms either separately. To be effective, this blending must be done in a scalable way. This investigation demonstrates that by limiting the human's interaction with the swarm to broad, high-level commands, the human's contribution can be scaled to multiple, simultaneous scenarios. The improved performance of the hybrid system of one human and one swarm solving one digital jigsaw puzzle, does not degrade when the same human forms a hybrid systems with up to four separate swarms at the same time.