Alvarado Jorge
Department of Industrial Engineering, Pontificia Universidad Javeriana, Bogotá, Colombia.
Front Psychol. 2025 Jun 13;16:1593928. doi: 10.3389/fpsyg.2025.1593928. eCollection 2025.
Text-to-image models learn associations between human-provided image tags and image features over billions of examples. As a result, such models provide a powerful mean to study the psychological relationships between colors and emotions. We generated images for different emotions descriptions varying in valence, arousal and dominance across several subjects and then extracted color features (chroma and Lab* values) from the resultant images to find color-emotion associations. Results show a joint effect of red and chroma to generate effects of joy, rage and negative powerless. In addition, lightness is key in generating effects of serenity, threat and a relief/stress divergence. Dominance emerged as an important dimension to understand interactions and nuances in color-emotion associations. The study highlights that specific combination of color elements convey emotions, rather than and beyond simple associations such as red-anger or lightness-valence.
文本到图像模型通过数十亿个示例学习人类提供的图像标签与图像特征之间的关联。因此，此类模型为研究颜色与情感之间的心理关系提供了一种强大的手段。我们针对不同受试者在效价、唤醒度和优势度方面变化的情感描述生成了图像，然后从生成的图像中提取颜色特征（色度和Lab*值）以找出颜色与情感的关联。结果表明红色和色度共同作用会产生喜悦、愤怒和消极无力感。此外，明度是产生宁静、威胁以及缓解/压力差异效果的关键。优势度成为理解颜色与情感关联中的相互作用和细微差别的一个重要维度。该研究强调，颜色元素的特定组合传达情感，而非简单的关联，如红色与愤怒或明度与效价。
