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

CPS：前沿：协作研究：人类 CPS 的认知自主性：将新手变成专家

• 批准号: 1836952
• 负责人: Inseok Hwang
• 金额: $ 224.6万
• 依托单位: Purdue University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-10-01 至 2025-09-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1836952&HistoricalAwards=false
• 关键词: CPS; Frontier; Collaborative; Research; Cognitive

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.

人类与自主网络物理系统的交互在消费品、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，使其具有响应性和个性化，同时还提供高可靠性的保证？ 适应人类并解释人类对系统的持续适应的网络物理系统可以在日常生活以及专业领域产生巨大影响（生物医学设备和系统、运输系统、制造、军事应用），通过显著减少培训时间，增加人类在安全关键环境中操作之前对系统的体验广度，提高安全性，并提高人和系统的性能。 架构，支持动态交互，使先进的计算，通信和控制，可以利用人力和自动化的优势，以实现新的水平的性能和safety.This研究探讨了以人为中心的架构“认知自主性”，耦合人的心理生理和行为的措施与客观的性能措施。 该体系结构有四个要素：1）一个可计算的认知模型，它是服从控制，但高度可定制的，响应于人类，和上下文相关的; 2）一个预测监视器，它提供先验概率验证以及实时短期预测，以预测有问题的行为，并触发适当的行动; 3）认知控制，其协作地确保期望的安全属性和人的性能指标;以及4）透明的通信，其通过解释性推理帮助保持信任和情境感知。 教育和推广计划的重点是通过一个具有文化敏感性的本科生暑期研究计划，扩大代表性不足的少数民族的参与，该计划还将提供有关支持参与和保留的学习环境的见解。 该项目产生的所有研究和教育材料都通过项目网页向公众提供。该奖项反映了NSF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。

项目成果

A Low Complexity Approach to Model-Free Stochastic Inverse Linear Quadratic Control

• DOI: 10.1109/access.2022.3144933
• 发表时间: 2022
• 期刊: IEEE Access
• 影响因子: 3.9
• 作者: Shanelle G. Clarke;Sooyung Byeon;Inseok Hwang

Inclusion in human–machine interactions

融入人机交互

• DOI: 10.1126/science.abf2618
• 发表时间: 2022
• 期刊: Science
• 影响因子: 56.9
• 作者: Reid, Tahira;Gibert, James
• 通讯作者: Gibert, James

On Using Controller Input and Signal Processing as a Parameter for Learning in CPHS

关于使用控制器输入和信号处理作为 CPHS 学习的参数

• 发表时间: 2022
• 期刊: IFAC Cyber Physical Human Systems Conference
• 作者: John, Albin;Reid, Tahira
• 通讯作者: Reid, Tahira

Skill-level-based Hybrid Shared Control for Human-Automation Systems

基于技能水平的人机自动化系统混合共享控制

• DOI: 10.1109/smc52423.2021.9658994
• 发表时间: 2021
• 期刊: and Cybernetics
• 作者: Byeon, Sooyung;Sun, Dawei;Hwang, Inseok
• 通讯作者: Hwang, Inseok

On controlled mode discernibility for nonlinear hybrid systems with unknown exogenous input

• DOI: 10.1016/j.automatica.2022.110339
• 发表时间: 2022-08
• 期刊: Autom.
• 作者: Dawei Sun;Inseok Hwang