: The aim of this study is to propose the design process suitable for developing the cognitive interface considering system engineering process (SEP) models. Due to the cognitive workload in an operation of HMS, some cognitive interfaces have been developed. It is somehow difficult to use the developed cognitive interface in real working environment since they often showed a conflict to stereotyped interface. So it is necessary to develop the design process suitable for the more operator-specific interface.Various SEP models were reviewed for selecting the suitable design process which might resolve the problem from design-specific interface. The suitable process for designing cognitive interface was proposed considering currently usable SEP models. The findings from the study may be helpful for systematic approach to designing cognitive interface in digitalized environment. The proposed design process would be applied for easily employing the cognitive interface in digitalized working environment such as main control room in nuclear power plant.
Objective: This study proposes the application of Ecological Interface Design(EID) method that is effective for situation awareness in digitalized environment. Background: While cognitive interface design method such as Information Rich Display(IRD) is simply focused on existing information for user, EID method helps users' resource to be solved to higher abstraction task such as diagnostic and problem solving. Method: Using EID method based on Work Domain Analysis (WDA), it was analyzed and designed for Steam Generator(SG) Water Level control process in a digitalized Main Control Room of Nuclear Power Plant. Proposed EID example is evaluated through interviews by expert & operator. Results: The result of expert & operator showed that EID display might give an aid for operator's decision. Conclusion: The results can reduce critical accidental damage that occurred due to cognitive load and so critical human error. Application: This study may be impact on situation awareness study for digitalized interface design.
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