The given study examines the way AI-based color theory can be applied in the graphic design and branding industry with a focus on the output of performance, alignment of a brand, improving creativity, keeping it more cultural, efficient workflow, whether an organization is ready, strategic findings of a brand, and the contentment of a designer. Findings show that AI-based color solutions lead to a massive difference in the accuracy of design, performance, and exploration in creativity. Quantitative evaluations revealed that AI-generated palettes were very accurate (mean score 85), they took 58% less time to complete the task and users were happier with them with a mean score of 88. As the brand alignment analysis revealed, there was a high conformity level (78) and stability level (81), which emphasize that AI is a reliable tool to keep the level of identity unchanged across the platforms. The results of the creativity amplification point to high values of novelty (84), diversity (79), and innovative combinations of colors (81), especially where the GAN-based generators are used. Cross-cultural and emotional measures had high emotional correspondence (81) and acceptance by the audience (78), yet the cultural appropriateness based on 74, indicating the necessity of human control. The rating of the organization readiness was 75 out of 100 that indicates sufficient technological availability and average levels of skills among staff. The efficiency of the workflow improved and by 50% it was checked and 37% project turnaround was reduced. The overall rank of designer satisfaction (4.3/5) was high, with junior designers stating the highest perceived value. The findings combined attest to the fact that AI-driven color tools are substantially more useful, creative, and strategic and necessitate balanced human-AI collaboration to achieve the highest results.
Liu et al. (Mon,) studied this question.
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