Research Initiation: A Cognitive Engineering Based Approachto the Interface Design of Decision Support Systems for Machine Fault Diagnosis

研究了一种基于认知工程的方法，将用户(操作员)的认知特征融入到决策支持系统(DSS)的界面设计中，用于对先进制造系统进行故障排除。其目的是(1)验证操作员的任务相关知识模型，该模型源于人类知识系统的认知理论；(2)评估基于理论的DSS界面的可用性，该界面是通过整合操作员的知识模型和先进的人机交互技术(直接操作)而设计的。通过三个实验对操作者知识模型的三个方面的假设进行检验：结构、内容和控制策略。还将进行一项额外的实验，以比较基于理论的界面和DSS的传统界面的可用性。这一研究将加深对操作员监控行为的理解，并为决策支持系统的界面设计提供一个模型。

The research is to investigate a cognitive engineering based approach which incorporates user's (operator's) cognitive characteristics into the interface design of decision support systems (DSS) for troubleshooting advanced manufacturing systems. The objectives are (1) to verify operator's task-related knowledge model which is derived from a cognitive theory of human knowledge systems; (2) to evaluate usability of a theory-based interface of DSS which is designed through integrating operator's knowledge model and advanced human-computer interaction technology (direct manipulation). Three experiments will be conducted to test hypotheses on three aspects of operator's knowledge model: structure, content, and control strategy. An additional experiment will be conducted to compare usability of the theory-based interface to that of a conventional interface of DSS. The research will enhance the understanding of operator's supervisory control behaviors and lead to a design model for the interface of DSS.