A Neuro-inspired Theory of Joint Human-Swarm Interaction

TL;DR

This paper introduces a neuro-inspired joint systems theory for human-swarm interaction, aiming to enhance the adaptability, robustness, and scalability of human-swarm systems by informing their design through cognitive systems engineering principles.

Contribution

It presents a novel neuro-inspired theoretical framework for human-swarm interaction, integrating cognitive systems engineering to predict and improve HSI dynamics.

Findings

Provides a new theoretical model for HSI

Predicts adaptive and scalable HSI behaviors

Informs design of human-swarm interfaces

Abstract

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.