The Effect of Color Combinations on the Efficiency of Text Recognition in Digital Devices

易读性 阅读(过程) 计算机科学 人工智能 色调 情感(语言学) 亮度 计算机视觉 多媒体 心理学 沟通 光学 广告 物理 政治学 法学 业务
作者
Heng Guo,Weihao Wang,Fanghao Song,Yan Liu,Hui Liu,Zhenming Bo
出处
期刊:International Journal of Human-computer Interaction [Informa]
卷期号:: 1-10 被引量:2
标识
DOI:10.1080/10447318.2022.2143768
摘要

The color combination of the text background in digital reading can significantly impact reading efficiency, and prolonged digital reading can affect the efficiency of text recognition. Text background color combinations designed for the display characteristics of digital devices can make users’ reading more efficient. This study investigated the effects of five factors - hue, saturation, brightness, text color and background texture - on text recognition efficiency and text legibility in digital reading, using eye-tracking technology and the E-prime psychology experimental operating platform. Pupil diameter was recorded using eye-tracking technology, and correctness and response time were recorded on the E-prime psychological operating platform, with subjective assessment of text legibility on a Likert scale. The results showed that the green-black combination had better legibility and higher recognition efficiency among light background and dark text combinations. And the peach-light grey combination performed the worst. As for the dark background and light text combinations, the green-white combination showed better legibility and recognition efficiency. Meanwhile, the background texture did not significantly affect reading efficiency in the experiment. This study investigated the factors influencing digital reading interfaces regarding recognition efficiency and legibility, which provided a reference for the design of digital reading interactive interfaces and had practical implications for reducing recognition efficiency decline due to prolonged reading.
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