This article compares the diverging color schemes suggested by ChatGPT and DeepSeek for Pantone's Color of the Year, Mocha Mousse. A diverging color scheme is constructed using two sequential colors meeting at a neutral midpoint, useful for emphasizing critical data points. Both AI systems offered color hex codes while ensuring the designs adhere to color deficiency standards. ChatGPT's responses were broader and more tailored for accessibility, whereas DeepSeek focused on a more conventional palette yet acknowledged the importance of color accessibility in data visualization.
ChatGPT's response generated a color scheme with five classes for Mocha Mousse, incorporating neutral colors at the midpoint, ensuring visibility for color deficient users.
In contrast, DeepSeek offered a more limited color palette; however, it highlighted the critical importance of accessibility in design for diverging color schemes.
Both ChatGPT and DeepSeek approached the task with different strategies, reflecting their unique methodologies in determining color palettes that are aesthetically pleasing and functional.
Through testing, the ChatGPT-generated scheme passed the color deficiency tests, demonstrating its utility not only for aesthetic purposes but also in data visualization applications.
Collection
[
|
...
]