A novel approach to study the effect of font and background color combinations on the text recognition efficiency on LCDs
Zeliang Cheng, Vahab Vahdat, Yingzi Lin

TL;DR
This study investigates how font and background color combinations affect text recognition efficiency on LCD screens, highlighting optimal color choices like black background with green font for improved readability.
Contribution
Introduces the Primary Color Difference (PCD) metric and a C#-based testing platform to evaluate font-background color effects on text recognition on LCDs.
Findings
Black background with green font yields highest recognition efficiency.
Maximized PCD correlates with better recognition performance.
Color combinations significantly influence text legibility on LCDs.
Abstract
With the popularization of cell phones, laptops, and tablets, Liquid Crystal Displays (LCDs) have become one of the main types of User Interface (UI) in the modern world. While LCDs are widely used for retrieving text information, the impact of text formatting on the legibility is often overlooked. With the goal of improving recognition efficiency (RE) on LCDs, this paper studies the impact of font-background colors on RE of texts being presented on LCD. For this purpose, difference between font/background color combinations, Primary Color Difference (PCD), is introduced that brings efficient RE assessment under wider spectrum. Accordingly, a testing platform is designed in C#. NET that captures participants response time to different font-background color combination stimuli. Based on the results, black background and green font color outperform other tested colors especially when the…
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Taxonomy
TopicsColor Science and Applications · Color perception and design
