IEEE Rev Biomed Eng. 2017;10:250-263. doi: 10.1109/RBME.2017.2694142. Epub 2017 Apr 12.
This paper provides a focused and organized review of the research progress on neurophysiological indicators, also called "neurometrics," to show how they can effectively address some of the most important human factors (HFs) needs in the air traffic management (ATM) field. In order to better understand and highlight available opportunities of such neuroscientific applications, state of the art on the most involved HFs and related cognitive processes (e.g., mental workload and cognitive training) are presented together with examples of possible applications in current and future ATM scenarios. Furthermore, this paper will discuss the potential enhancements that further research and development activities could bring to the efficiency and safety of the ATM service.
本文对神经生理指标（也称为“神经计量学”）的研究进展进行了重点和有组织的回顾，以展示它们如何有效地解决空中交通管理（ATM）领域一些最重要的人为因素（HFs）需求。为了更好地理解和突出此类神经科学应用的可用机会，本文介绍了最相关的 HFs 和相关认知过程（例如，工作负荷和认知训练）的最新技术，并举例说明了它们在当前和未来 ATM 场景中的可能应用。此外，本文还讨论了进一步的研究和开发活动可能为 ATM 服务的效率和安全带来的潜在增强。
