Integrated Individualized Modeling towards Cognitive Control of Human-Machine Systems

人机系统认知控制的集成个性化建模

• 批准号: 1333524
• 负责人: Yingzi Lin
• 金额: $ 23.5万
• 依托单位: Northeastern University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-09-01 至 2017-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1333524&HistoricalAwards=false
• 关键词: Integrated; Individualized; Modeling; towards; Cognitive

The research objective of this project is to integrate human factors and control for modeling of collaborative human-machine systems. Specifically, in a driver-vehicle system, the driver's cognitive state and behavior may become significant factors to the overall system performance. This work is to study a driver assistance system (DAS) that integrates the driver's cognitive state and behavior, as well as the vehicle state and behavior, as inputs. Driver's cognitive state includes emotion, mental workload and attention. The approach has three main aspects: (1) investigate a method to model a driver's cognitive state and behavior while controlling a vehicle in a dynamic human-machine environment (HME); (2) incorporate the HME model into a DAS as a form of feedback control; (3) test and validate the above theories through the DAS simulation.The research makes significant contributions to the areas of human state and behavior modeling, as well as cognitive control of human-machine systems. Driver assistance systems have a strong relevance to transportation safety, and one large deliverable from this research includes a reduction in automobile accidents. This DAS is a specific test bed for a more general Human Assistance System (HAS). The test bed results can be used to model a more generic HAS, which can then be applied to human-machine systems in a variety of domains such as medicine, manufacturing, and space applications. This work will provide experience to students and teachers by providing educational activities to support k-12 education. Graduate and undergraduate students will benefit through research integration with curriculums and senior design projects. This work expects to attract minorities and underrepresented groups, especially women. The work will also reach out towards professional societies and international collaboration for a wide dissemination of the research outcome.

本计画的研究目标是整合人的因素与控制，以建立人机合作系统的模型。具体而言，在驾驶员-车辆系统中，驾驶员的认知状态和行为可能成为整体系统性能的重要因素。本研究旨在研究一种将驾驶员的认知状态和行为以及车辆状态和行为作为输入的驾驶员辅助系统（DAS）。驾驶员的认知状态包括情绪、脑力负荷和注意力。该方法主要有三个方面：（1）研究在动态人机环境（HME）中控制车辆时驾驶员认知状态和行为的建模方法：（2）将HME模型作为反馈控制的一种形式引入DAS中;（3）通过DAS仿真对上述理论进行了验证，为人类状态和行为建模领域做出了重要贡献，以及人机系统的认知控制。驾驶员辅助系统与交通安全密切相关，这项研究的一个重要成果包括减少汽车事故。该DAS是用于更一般的人类辅助系统（HAS）的特定测试床。测试床的结果可以用来模拟一个更通用的HAS，然后可以应用于各种领域的人机系统，如医学，制造业和空间应用。这项工作将通过提供教育活动来支持k-12教育，为学生和教师提供经验。研究生和本科生将受益于研究整合与大学和高级设计项目。这项工作预计将吸引少数民族和代表性不足的群体，特别是妇女。这项工作还将面向专业协会和国际合作，以广泛传播研究成果。