A developed model of expert system interface (DMESI)

Cognitive compatibility plays an important role in the development of the human-computer interface. A good user interface will lead to better user/expert system interaction and task performance. In this study, we examined what and how cognitive types affect problem-solving and analyzed the theoretical development of the relationship between human cognition and the use of intelligent machines in the domain of maintenance. The implementation of the knowledge acquisition (KA) presented the development process of the maintenance protocol which derived from using ICAM DEFinition0 (IDEF0) and Data Flow Diagram (DFD). From the maintenance process modeling, the formal representation of what the user does with the resulting interface can be defined. The knowledge base of the system is represented by a fault decision tree diagram, and is incorporated to communicate between the maintainers and the computer. Furthermore, we also evaluated and compared the effectiveness of expert system interface with the traditional maintenance handbook. As a case study, a fault recovery expert system for the Maintenance Department of the diesel engine bus system of Taipei City has been developed. Findings of the study have important implications in expert system interface design, including the specific features of changeability, traceability, plenitude, and qualitative description in this maintenance area.