Affiliation:
1. School of Mechanical Engineering, Southeast University, Nanjing 211189, China
2. School of Design Art and Media, Nanjing University of Science and Technology, Nanjing 210014, China
Abstract
The digital interface is crucial for nuclear plant operators, influencing their decision-making significantly. However, evaluations of these interfaces often overlook users’ decision-making performance; lack established standards, typically occurring after the design phase; and are unsuitable for large-scale assessments. Recognizing the vital role of interface information, this paper built on our previous research and proposed a method tailored for nuclear power plant interfaces, utilizing image entropy to evaluate the impact of information on decision-making. A comparative analysis with an experimental evaluation method empirically validated the effectiveness of the proposed method. This research offers a unique decision-making-centric method to interface evaluation, providing a standardized, adaptable framework for various design phases and enabling extensive and rapid evaluations.
Funder
National Natural Science Foundation of China
Aeronautical Science Foundation of China
ZhiShan Scholar Program of Southeast University
Subject
General Physics and Astronomy