Cognitive Engineering of Automated Assembly Processes
Cognitive Engineering of Automated Assembly Processes
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DOI：
10.1002/hfm.20390
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发表时间：
2014-05
影响因子：
2.4
通讯作者：
M. Mayer;Barbara Odenthal;Marco Faber;C. Winkelholz;Christopher M. Schlick
中科院分区：
文献类型：
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作者：
M. Mayer;Barbara Odenthal;Marco Faber;C. Winkelholz;Christopher M. Schlick
用于自动装配系统的认知控制单元（CCU）旨在基于规则的认知控制水平上模拟人类信息处理。针对监控子任务，提出了一种基于认知工程的CCU过程知识库设计方法，并在认知体系结构SOAR的基础上，提出了一种以人为中心的装配过程仿真模型。总体目标是设计和开发符合运营商期望的系统。为了确定包括在CCU中的人类装配策略，进行了一项有n = 16名参与者的实证研究，并通过一项有n = 25人的独立调查进行了验证。此外，仿真模型，将某些子集的产生式规则的开发和评估其良好的预测人类装配行为。结果表明，规则集对预测能力有显着的影响。最高的预测精度得到所有识别的组装规则集成。© 2012 Wiley Periodicals，Inc.
A cognitive control unit (CCU) for automated assembly systems aims to simulate human information processing at a rule‐based level of cognitive control. Focusing on the subtask of monitoring, a cognitive engineering approach for the design of the procedural knowledge base of the CCU is presented and a human‐centered simulation model of assembly processes on the basis of the cognitive architecture SOAR is introduced. The overall objective is to design and develop the system to conform to operators' expectations. To identify human assembly strategies to be included in the CCU, an empirical study with n = 16 participants was conducted and validated by an independent investigation with n = 25 persons. Furthermore, simulation models incorporating certain subsets of production rules were developed and evaluated regarding their goodness of prediction of human assembly behavior. The results show that the rule sets have a significant effect on the predictive power. The highest prediction accuracy was obtained with all identified assembly rules integrated. © 2012 Wiley Periodicals, Inc.