Color adjustment of brand logos for dark mode display

Area of Science:

• Graphic Design
• Human-Computer Interaction
• Perceptual Psychology

Background:

• Dark mode is prevalent in digital interfaces for visual comfort.
• Brand logos designed for light backgrounds face issues like color distortion and reduced visibility on dark modes.
• These issues negatively affect brand identity and user experience.

Purpose of the Study:

• To propose a systematic model for optimizing brand logo colors in dark mode environments.
• To develop a predictive model for adjusting logo colors based on empirical data.
• To ensure brand consistency and visual comfort for logos in dark mode.

Main Methods:

• Experiment 1: 31 students manually adjusted 18 fictitious logos on a black background.
• Analysis of color modification trends (brightness, chroma, hue-angle).
• Development of a color adjustment model using Kriging interpolation.
• Experiment 2: Preference survey with 89 participants comparing original and adjusted logos (36 total).

Main Results:

• Systematic color adjustment trends observed: bright colors darkened, dark colors lightened, chroma reduced.
• Red and blue hues required specific hue-angle corrections.
• The predictive model was validated through a preference survey.
• Adjusted logos were generally preferred, especially those originally dark.

Conclusions:

• The proposed model provides design principles for effective dark mode logo adaptation.
• The model ensures brand color consistency and enhances visual comfort.
• This approach offers a stable method for maintaining brand representation in digital environments.
• The model is applicable to various graphic elements in dark mode.