Tyler William J, Adavikottu Anusha, Blanco Christian Lopez, Mysore Archana, Blais Christopher, Santello Marco, Unnikrishnan Avinash
Department of Biomedical Engineering, University of Alabama at Birmingham, Birmingham, AL, United States.
Center for Neuroengineering and Brain Computer Interfaces, Birmingham, AL, United States.
Front Robot AI. 2025 May 23;12:1491494. doi: 10.3389/frobt.2025.1491494. eCollection 2025.
Human operators of remote and semi-autonomous systems must have a high level of executive function to safely and efficiently conduct operations. These operators face unique cognitive challenges when monitoring and controlling robotic machines, such as vehicles, drones, and construction equipment. The development of safe and experienced human operators of remote machines requires structured training and credentialing programs. This review critically evaluates the potential for incorporating neurotechnology into remote systems operator training and work to enhance human-machine interactions, performance, and safety. Recent evidence demonstrating that different noninvasive neuromodulation and neurofeedback methods can improve critical executive functions such as attention, learning, memory, and cognitive control is reviewed. We further describe how these approaches can be used to improve training outcomes, as well as teleoperator vigilance and decision-making. We also describe how neuromodulation can help remote operators during complex or high-risk tasks by mitigating impulsive decision-making and cognitive errors. While our review advocates for incorporating neurotechnology into remote operator training programs, continued research is required to evaluate the how these approaches will impact industrial safety and workforce readiness.
远程和半自主系统的人类操作员必须具备高水平的执行功能,才能安全、高效地开展操作。在监控和控制诸如车辆、无人机及建筑设备等机器人机器时,这些操作员面临着独特的认知挑战。培养安全且经验丰富的远程机器人类操作员需要结构化的培训和认证计划。本综述批判性地评估了将神经技术纳入远程系统操作员培训及工作以增强人机交互、性能和安全性的潜力。文中回顾了近期的证据,这些证据表明不同的非侵入性神经调节和神经反馈方法可以改善诸如注意力、学习、记忆和认知控制等关键执行功能。我们进一步描述了这些方法如何用于改善培训效果,以及远程操作员的警觉性和决策能力。我们还描述了神经调节如何通过减轻冲动决策和认知错误来帮助远程操作员完成复杂或高风险任务。虽然我们的综述主张将神经技术纳入远程操作员培训计划,但仍需持续研究以评估这些方法将如何影响工业安全和劳动力准备情况。
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