Color Emotion Association

Color-emotion association research explores the relationship between perceived colors and the emotions they evoke, aiming to understand and model this complex, subjective connection. Current investigations utilize both human-annotated datasets and large language models (like GPT-4) and multimodal models (like CLIP) to analyze color-emotion pairings in art and other visual contexts, revealing both consistent and nuanced associations. These findings have implications for various fields, including art analysis, design, marketing, and psychology, by providing a more data-driven understanding of how color influences emotional responses and potentially improving the design of emotionally resonant visual experiences.