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Integrated Individualized Modeling towards Cognitive Control of Human-Machine Systems

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:
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
项目状态:
已结题
起止时间:
2013-09-01 至 2017-08-31

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中文摘要
翻译
本项目的研究目标是将人的因素和控制结合起来,用于协作式人机系统的建模。具体地说,在驾驶员-车辆系统中,驾驶员的认知状态和行为可能成为影响系统整体性能的重要因素。研究一种集驾驶员认知状态和行为以及车辆状态和行为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。该方法主要包括三个方面:(1)研究驾驶员在动态人机环境(HME)中控制车辆时的认知状态和行为建模方法;(2)将HME模型作为一种反馈控制形式融入到DAS中;(3)通过DAS仿真对上述理论进行检验和验证,为人类状态和行为建模以及人机系统认知控制领域做出重要贡献。驾驶员辅助系统与运输安全有很强的相关性,这项研究的一个重大成果包括减少汽车事故。该DAS是更通用的人工辅助系统(HAS)的专用试验台。试验台的结果可以用来对更通用的HAS进行建模,然后可以将其应用于各种领域的人机系统,如医学、制造和空间应用。这项工作将通过提供支持K-12教育的教育活动,为学生和教师提供经验。研究生和本科生将受益于与课程和高级设计项目的研究整合。这项工作预计将吸引少数群体和代表性不足的群体,特别是妇女。这项工作还将与专业协会和国际合作接触,以广泛传播研究成果。
英文摘要
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.
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海外基金