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Collaborative Research: Proofing A Basic Systems Engineering Model Through Empirically-Based Cognitive Testing

协作研究：通过基于经验的认知测试验证基本系统工程模型

基本信息

批准号：
1762415
负责人：
John Gero
金额：
$ 34.98万
依托单位：
University of North Carolina at Charlotte
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2018
资助国家：
美国
起止时间：
2018-07-15 至 2023-06-30
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1762415&HistoricalAwards=false
关键词：
Collaborative Research Proofing Basic Systems

项目摘要

America's global leadership depends in part on its engineering and design capabilities in an increasingly competitive and complex environment. Trends have long been toward larger and more complicated systems. Systems engineering methodology is intended to address the complexity of today?s engineering challenges. Currently, there are only narrative theoretical models that cover the entirety of systems engineering. These models have proven difficult to test due to their discursive nature. This project addresses how such theoretical models can be tested against quantitative experimental results derived from studying engineers performing systems design. This will result in improved systems engineering models and used to contribute to America's global leadership. The results of this project form the basis of an increased scientific understanding of engineering systems design with direct implications for systems engineering practice and education. It will demonstrate a novel research technique that can be used to test other discursive theoretical models and will lay the foundation for the future testing of the education of systems engineers.Descriptive theoretical models that aim to capture and enhance engineering systems design have been suggested but not tested. The goal of this project is to apply the approach of converting a narrative theoretical model into a cognitively-based ontology with the aim of producing a representation that allows for quantitative representations and testing. This approach treats the discursive model as the articulation of a think-aloud protocol. This project is based on a newly developed technique of representing such descriptive theoretical models by translating them into the Function-Behavior-Structure (FBS) ontology, which serves as a common ontology, and then segmenting and coding the result as if it were a think-aloud protocol. The FBS ontology is a highly-grounded ontology that has been shown to be effective in representing the engineering design process. This then allows the theoretical model to be compared with results obtained by studying the design cognition of engineers designing using a think-aloud protocol segmented and coded using the FBS ontology. Since both the theoretical model and the experimental results are in the same form the theoretical model can now be tested for coherence with the experimental results.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.

美国的全球领导地位在一定程度上取决于其在竞争日益激烈和复杂的环境中的工程和设计能力。长期以来，趋势一直是朝着更大、更复杂的系统发展。系统工程方法论意在应对当今复杂的工程挑战？S。目前，只有涵盖整个系统工程的叙事理论模型。事实证明，由于这些模型的论述性质，很难对其进行测试。这个项目解决了这样的理论模型如何根据研究执行系统设计的工程师的定量实验结果进行测试的问题。这将导致系统工程模型的改进，并用于促进美国的全球领导地位。该项目的结果形成了增加对工程系统设计的科学理解的基础，对系统工程实践和教育具有直接影响。它将展示一种新的研究方法，可用于测试其他论述的理论模型，并将为未来系统工程教育的测试奠定基础。旨在捕获和增强工程系统设计的描述性理论模型已被提出，但尚未得到测试。这个项目的目标是应用将叙事理论模型转换为基于认知的本体论的方法，目的是产生一种允许量化表示和测试的表示。这种方法将论述模型视为有声思考协议的表述。该项目基于一种新开发的技术来表示这种描述性理论模型，方法是将它们转换为功能-行为-结构(FBS)本体，作为通用本体，然后将结果分割和编码，就像它是有声思考协议一样。FBS本体是一个高度扎实的本体，已被证明在表示工程设计过程方面是有效的。然后，这允许将理论模型与通过研究工程师使用有声思考协议进行设计的设计认知而获得的结果进行比较，该协议使用FBS本体进行分段和编码。由于理论模型和实验结果的形式相同，现在可以测试理论模型与实验结果的一致性。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。