Arguably, automation is fast transforming many enterprise business processes, transforming operational jobs into monitoring tasks. Consequently, the ability to sustain attention during extended periods of monitoring is becoming a critical skill. This manuscript presents a Brain-Computer Interface (BCI) prototype which seeks to combat decrements in sustained attention during monitoring tasks within an enterprise system. A brain-computer interface is a system which uses physiological signals output by the user as an input. The goal is to better understand human responses while performing tasks involving decision and monitoring cycles, finding ways to improve performance and decrease on-task error. Decision readiness and the ability to synthesize complex and abundant information in a brief period during critical events has never been more important. Closed-loop control and motivational control theory were synthesized to provide the basis from which a framework for a prototype was developed to demonstrate the feasibility and value of a BCI in critical enterprise activities. In this pilot study, the BCI was implemented and evaluated through laboratory experimentation using an ecologically valid task. The results show that the technological artifact allowed users to regulate sustained attention positively while performing the task. Levels of sustained attention were shown to be higher in the conditions assisted by the BCI. Furthermore, this increased cognitive response seems to be related to increased on-task action and a small reduction in on-task errors. The research concludes with a discussion of the future research directions and their application in the enterprise.

可以说，自动化正在快速转变许多企业业务流程，将运营工作转变为监视任务。因此，在长时间监视期间保持注意力的能力已成为一项关键技能。该手稿介绍了一个脑机接口（BCI）原型，该原型旨在在监视企业系统内的任务期间消除持续关注中的减少。脑计算机接口是使用用户输出的生理信号作为输入的系统。目标是在执行涉及决策和监视周期的任务时，更好地理解人类的反应，找到提高性能并减少任务中错误的方法。在重大事件期间的短时间内，决策准备和综合复杂而丰富的信息的能力变得前所未有的重要。综合了闭环控制和动机控制理论，为开发原型框架以证明BCI在关键企业活动中的可行性和价值提供了基础。在这项前期研究中，BCI是通过使用生态有效任务的实验室实验来实施和评估的。结果表明，技术工件可以使用户在执行任务时积极地调节持续的注意力。在BCI协助的情况下，持续关注的水平较高。此外，这种增加的认知反应似乎与任务上行动的增加和任务错误的少量减少有关。研究结束时讨论了未来的研究方向及其在企业中的应用。