Investigating Interface Layout Optimization for Enhanced Visual Search Efficiency in Industrial Manufacturing Systems
Open Access
Article
Conference Proceedings
Authors: Yuchen Yuan, Xiaojun Liu
Abstract: This study examines interface layout optimization to enhance visual search efficiency and cognitive performance in industrial manufacturing systems, addressing the high cognitive demands of human-machine interfaces. By improving information visualization, interface design can significantly enhance operators' comprehension and response time, ultimately boosting production efficiency. Two experiments were conducted: Experiment A assessed six layout configurations, identifying LT and MT as the most efficient for visual search. Experiment B used eye-tracking analysis to compare MT and LT layouts, with Scheme 1 (MT layout) demonstrating superior cognitive efficiency, logical structure, and user satisfaction. These results confirm the effectiveness of the proposed design standards and highlight the need for data-driven, intelligent interface layouts in modern manufacturing. The findings suggest that advanced information visualization within HMIs fosters coordination and efficiency in industrial ecosystems, supporting innovative future developments in interface design.
Keywords: Industrial manufacturing systems, interface layout optimization, data-driven design, visual search efficiency, eye-tracking analysis
DOI: 10.54941/ahfe1005838
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