Semantic-Emotion-Mapping-Driven Color Generation: The Reconstruction and Application of Design Language in the AI Era

Lv Jun

Color ›› 2025, Vol. 43 ›› Issue (10) : 31-34.

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Color ›› 2025, Vol. 43 ›› Issue (10) : 31-34.

Semantic-Emotion-Mapping-Driven Color Generation: The Reconstruction and Application of Design Language in the AI Era

  • Lv Jun
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Abstract

Color is a vital symbol conveying emotion and culture. Traditional color generation mechanisms face challenges in consistency and cross-cultural communication. Breakthroughs in Artificial Intelligence (AI), particularly in image recognition and semantic analysis, offer new pathways. This paper examines the logic of AI-involved color generation from the perspective of semantic-emotional mapping. The study finds that AI can generate color schemes through keywords and emotional matching, yet it faces limitations regarding cultural sensitivity and originality. By analyzing cases such as "Digital Dunhuang," the paper explores AI's application in cultural heritage restoration and design education, emphasizing the importance of cultivating critical usage ability. It concludes that the future lies in integrating technology and culture within a "human-AI co-creation" framework, positioning color as a medium that connects emotion and identity.

Key words

Color Generation / Semantic-Emotional Mapping / Artificial Intelligence(AI) / Human-AI Co-creation

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Lv Jun. Semantic-Emotion-Mapping-Driven Color Generation: The Reconstruction and Application of Design Language in the AI Era[J]. Color. 2025, 43(10): 31-34

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