The Impact of Color Combinations on Recognition Efficiency and Visual Fatigue in Industrial Alarm Systems

This study delved deeply into the influence of foreground and background color combinations on recognition efficiency and visual load in industrial alarm systems. By conducting experiments with 15 participants and 54 color combinations, descriptive statistical analysis indicated that color combinations significantly affected the reaction time of visual recognition. Foreground colors, particularly those with higher saturation and luminance, played a crucial role in promoting visual recognition, while the impact of background colors was relatively less pronounced. A two - way ANOVA was performed, revealing that foreground color was a dominant factor influencing reaction time, while the background color and their interaction had relatively minor significant effects. The research findings can be applied to optimize the color design of industrial alarm systems, thus enhancing information recognition efficiency and reducing the probability of operator errors. Moreover, these results have implications for other visual - information - based fields. Future research could explore long - term effects and more complex color - related factors.

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Publication Details

Journal
AHFE international
Published
2025-01-01
DOI
https://doi.org/10.54941/ahfe1006254
Primary Topic
Industrial Vision Systems and Defect Detection
Type
article
Field-Weighted Citation Impact
0.00
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article

The Impact of Color Combinations on Recognition Efficiency and Visual Fatigue in Industrial Alarm Systems

Yiwei Xie, Xiaojun Liu
AHFE international
Industrial Vision Systems and Defect Detection
article

The Impact of Color Combinations on Recognition Efficiency and Visual Fatigue in Industrial Alarm Systems

Yiwei Xie, Xiaojun Liu
article en

Abstract

This study delved deeply into the influence of foreground and background color combinations on recognition efficiency and visual load in industrial alarm systems. By conducting experiments with 15 participants and 54 color combinations, descriptive statistical analysis indicated that color combinations significantly affected the reaction time of visual recognition. Foreground colors, particularly those with higher saturation and luminance, played a crucial role in promoting visual recognition, while the impact of background colors was relatively less pronounced. A two - way ANOVA was performed, revealing that foreground color was a dominant factor influencing reaction time, while the background color and their interaction had relatively minor significant effects. The research findings can be applied to optimize the color design of industrial alarm systems, thus enhancing information recognition efficiency and reducing the probability of operator errors. Moreover, these results have implications for other visual - information - based fields. Future research could explore long - term effects and more complex color - related factors.

AHFE internationalVol. 195
Openalex Percentile: Top 78%
Industrial Vision Systems and Defect Detection
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