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Interface Layout Optimization for Electrical Devices Using Heuristic Algorithms and Eye Movement

delete2023-01-01
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OA
AI
卢国英 封面图
卢国英 (Guoying Lu) *
J
Jianqin Yu
J
Junkun Zhou
T
Tianyu Cheng
张婷 封面图
张婷 (Ting Zhang)
张
张帅 (Shuai Zhang)
DOI:10.1109/ACCESS.2023.3319473delete
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摘要

摘要

En 中文
The safe operation of electrical devices is related to the national economy and people's safe and well-being. It is crucial for operators to correctly and quickly identify interface information. To achieve this goal, optimizing the facility layout to reduce operator cognitive load and improve layout usability are vital prerequisites. Studies have developed methods for arranging interface elements, but their evaluations have rarely focused on the usability verification of optimized schemes; hence, the optimal effect has been uncertain in real situations. Given these considerations, this study proposed a new method that combines heuristic algorithms (genetic algorithm [GA] and ant colony algorithm [ACA]) and eye movements to obtain optimal interfaces. The optimized mathematical model was constructed using the Delphi method and analytic hierarchy process. A comparative study found that the GA-based interface (GABI) achieved superior results to the ACA-based interface (ACABI). Furthermore, the eye movement results indicated that compared with the original interface (OI) of the armored exhaust AC metal-enclosed switchgear, both algorithm-based interfaces significantly reduced the cognitive load and improved the overall usability. The results demonstrated that the GABI was superior to the ACABI overall. Therefore, the method proposed in this study can obtain better applicable schemes that account for both ergonomic requirements and user experience, thereby facilitating the convenient production of more effective layout schemes and providing a reference for electrical device designers and practitioners.
Keyword:
Layout
Optimization
Ergonomics
Mathematical models
Heuristic algorithms
Genetic algorithms
Switches
Ant colony optimization
Gaze tracking
Usability
Ant colony algorithm
analytic hierarchy process
cognitive load
Delphi method
eye movement
genetic algorithm
heuristic algorithm
layout interface
usability

期刊

IEEE Access 封面图
IEEE Access
IF:
3.6
论文数:
9.8W
被引数:
29.4W

机构

S
Shanghai Dianji University
学者数:
1.6K
论文数: 976
被引数: 539
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