One of the challenges of human-swarm interaction (HSI) is how to manage the operator's workload. In order to do this, we propose a novel neurofeedback technique for the real-time measurement of workload using functional near-infrared spectroscopy (fNIRS). The objective is to develop a baseline for workload measurement in human-swarm interaction using fNIRS and to develop an interface that dynamically adapts to the operator's workload. The proposed method consists of using fNIRS device to measure brain activity, process this through a machine learning algorithm, and pass it on to the HSI interface. By dynamically adapting the HSI interface, the swarm operator's workload could be reduced and the performance improved.

翻译：人机交互(HSI)的一大挑战是如何管理操作员的工作负荷。为此，我们提出一种基于功能近红外光谱(fNIRS)实时测量工作负荷的新型神经反馈技术。其目标是利用fNIRS建立人机交互中工作负荷测量的基准，并开发能够动态适应操作员工作负荷的交互界面。所提方法包括：使用fNIRS设备测量脑部活动，通过机器学习算法进行处理，并将结果传递至HSI界面。通过动态调整HSI界面，可有效降低集群操作员的工作负荷并提升系统性能。