A Neuro-inspired Theory of Joint Human-Swarm Interaction
This addresses the problem of improving human-swarm interaction for swarm robotics and human-factors engineering, but it appears incremental as it builds on existing cognitive systems engineering perspectives.
The paper tackles the challenge of human-swarm interaction by introducing a neuro-inspired joint systems theory, which predicts adaptive, robust, and scalable dynamics to inform design.
Human-swarm interaction (HSI) is an active research challenge in the realms of swarm robotics and human-factors engineering. Here we apply a cognitive systems engineering perspective and introduce a neuro-inspired joint systems theory of HSI. The mindset defines predictions for adaptive, robust and scalable HSI dynamics and therefore has the potential to inform human-swarm loop design.