An Intelligent Signage Color Configuration Workflow Base on Universal Design

The concept of universal design in environmental signage holds significant practical value for all demographic groups, particularly those with low vision. This study aims to establish a theoretical foundation for signage color configuration and to enhance the universal construction of future environments by examining the relationship between color elements and signage legibility, as well as by refining the color configuration process. Utilizing the Natural Color System and adhering to international universal design guidelines, this study conducted an interview study among Chinese participants, supplemented by both online and offline questionnaires. These questionnaires evaluated the hue combination, brightness contrast, and color contrast of visual signages. The study involved 164 participants aged between 18 and 84 years, including 144 young adults and 20 older adults, with varying visual capabilities. Findings revealed that both age groups exhibit similar preferences for signage colors, though slight variations were noted, attributed to differing health conditions and personal traits. Importantly, color contrast emerged as a critical factor influencing signage legibility, with a color contrast level of 6 fulfilling the requirements of most groups. From these results, we propose a set of recommended color combinations and a method for configuring color in universal signage systems. This research not only lays groundwork for further quantitative studies on environmental signage color in China but also offers a model for universal design applications on a broader scale.

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Publication Details

Published
2024-08-23
DOI
https://doi.org/10.1109/i-create62067.2024.10776526
Primary Topic
Color perception and design
Type
article
Field-Weighted Citation Impact
0.00

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article

An Intelligent Signage Color Configuration Workflow Base on Universal Design

Yuanyuan Xia, Wei Zhao, Fei Chen, Erke Zhang et al.
Color perception and design
article

An Intelligent Signage Color Configuration Workflow Base on Universal Design

Yuanyuan Xia, Wei Zhao, Fei Chen, Erke Zhang, Yu Wu
article en

Abstract

The concept of universal design in environmental signage holds significant practical value for all demographic groups, particularly those with low vision. This study aims to establish a theoretical foundation for signage color configuration and to enhance the universal construction of future environments by examining the relationship between color elements and signage legibility, as well as by refining the color configuration process. Utilizing the Natural Color System and adhering to international universal design guidelines, this study conducted an interview study among Chinese participants, supplemented by both online and offline questionnaires. These questionnaires evaluated the hue combination, brightness contrast, and color contrast of visual signages. The study involved 164 participants aged between 18 and 84 years, including 144 young adults and 20 older adults, with varying visual capabilities. Findings revealed that both age groups exhibit similar preferences for signage colors, though slight variations were noted, attributed to differing health conditions and personal traits. Importantly, color contrast emerged as a critical factor influencing signage legibility, with a color contrast level of 6 fulfilling the requirements of most groups. From these results, we propose a set of recommended color combinations and a method for configuring color in universal signage systems. This research not only lays groundwork for further quantitative studies on environmental signage color in China but also offers a model for universal design applications on a broader scale.

Harvard University (US), Tianjin University (CN), Tianjin Academy of Fine Arts (CN)
National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 70%
Color perception and design
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An Intelligent Signage Color Configuration Workflow Base on Universal Design — Yuanyuan Xia, Wei Zhao, et al. · (2024) | TGRS Research Map | TGRS