CPS: Frontier: Collaborative Research: Cognitive Autonomy for Human CPS: Turning Novices into Experts

人类与自主网络物理系统的互动在消费品、运输系统、制造业和许多其他领域变得无处不在。该项目寻求建设性的方法来回答这个问题：我们如何设计网络物理系统，使其响应性和个性化，同时提供高可信度的可靠性保证？适应人类的网络物理系统，并考虑到人类对系统的持续适应，可以在日常生活以及专业领域（生物医学设备和系统，运输系统，制造业，军事应用）中产生巨大影响，通过显着减少培训时间，增加人类在安全关键环境中操作之前与系统的经验广度，提高安全性，提高人员和系统的性能。由于计算、通信和控制方面的进步，支持动态交互的体系结构可以利用人力和自动化的力量来实现新的性能和安全水平。本研究探讨了一种以人为中心的“认知自主性”架构，该架构将人类心理生理和行为测量与客观的表现测量相结合。该体系结构有四个要素：1)一个可计算的认知模型，该模型易于控制，但高度可定制，对人有响应，并且依赖于上下文；2)预测性监视器，提供先验概率验证和实时短期预测，以预测问题行为并触发适当的行动；3)认知控制，协同确保期望的安全特性和人类绩效指标；4)透明的沟通，通过解释推理有助于保持信任和态势感知。教育和推广计划的重点是通过一个对文化有反应的本科生暑期研究项目，扩大代表性不足的少数民族的参与，该项目还将提供有关支持参与和保留的学习环境的见解。该计划所产生的所有研究和教育资料，均可透过计划网页向公众提供。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

Human interaction with autonomous cyber-physical systems is becoming ubiquitous in consumer products, transportation systems, manufacturing, and many other domains. This project seeks constructive methods to answer the question: How can we design cyber-physical systems to be responsive and personalized, yet also provide high-confidence assurances of reliability? Cyber-physical systems that adapt to the human, and account for the human's ongoing adaptation to the system, could have enormous impact in everyday life as well as in specialized domains (biomedical devices and systems, transportation systems, manufacturing, military applications), by significantly reducing training time, increasing the breadth of the human's experiences with the system prior to operation in a safety-critical environment, improving safety, and improving both human and system performance. Architectures that support dynamic interactions, enabled by advances in computation, communication, and control, can leverage strengths of the human and the automation to achieve new levels of performance and safety.This research investigates a human-centric architecture for "cognitive autonomy" that couples human psychophysiological and behavioral measures with objective measures of performance. The architecture has four elements: 1) a computable cognitive model which is amenable to control, yet highly customizable, responsive to the human, and context dependent; 2) a predictive monitor, which provides a priori probabilistic verification as well as real-time short-term predictions to anticipate problematic behaviors and trigger the appropriate action; 3) cognitive control, which collaboratively assures both desired safety properties and human performance metrics; and 4) transparent communication, which helps maintain trust and situational awareness through explanatory reasoning. The education and outreach plan focuses on broadening participation of underrepresented minorities through a culturally responsive undergraduate summer research program, which will also provide insights about learning environments that support participation and retention. All research and educational material generated by the project are being made available to the public through the project webpage.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.