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Initially, the chatbot indicated that it could not handle this request. With some rephrasing of the text, I obtained a ChatGPT result that needed to be modified to pass the color deficiency tests. The successful result turned out to be a monochromatic color harmony. Let’s begin this journey by first reviewing the Pantone Color of the Year and then exploring how a text-based generative AI tool can help build a data color scheme based on that hue.
Pantone’s Color of the Year Concept:
The Pantone company produces the Pantone Matching System (PMS) and the Pantone Fashion, Home + Interiors (FHI) System, proprietary color spaces. PMS is used primarily in graphics for printing, packaging, and digital media. FHI is used in a wide range of other industries including fashion, cosmetics, fabric, plastics, and paints. When Pantone PMS inks are applied to a physical color reproduction process, it is often possible to accurately match the colors from your digital data visualization to the hard copy output. I highlighted this journey from digital to hard copy in a previous Nightingale writing.
Since 2000, the Pantone Color Institute began defining a “Color of the Year” from its inventory of PMS and FHI colors. The color for a given year is selected by a secret panel after considering color trend analyses that span the entertainment industry, all areas of design, fine art shows and collections, social media, new technologies, emerging materials, and textures as well as lifestyles and socio-economic conditions. On December 7, 2023, Peach Fuzz (Pantone 13–1023) was announced as the 2024 Pantone Color of the Year.
Pantone’s Color of the Year has influence on the development of products and consumer decisions in areas like graphic design, product packaging, fashion, industrial design, and home furnishings. As a result, in my visualization practice, I like to build and keep in inventory color schemes that correspond to the designated Pantone…
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