Color cycles, ordered sets of colors for data visualization, that balance aesthetics with accessibility considerations are presented. In order to model aesthetic preference, data were collected with an online survey, and the results were used to train a machine-learning model. To ensure accessibility, this model was combined with minimum-perceptual-distance constraints, including for simulated color-vision deficiencies, as well as with minimum-lightness-distance constraints for grayscale printing, maximum-lightness constraints for maintaining contrast with a white background, and scores from a color-saliency model for ease of use of the colors in verbal and written descriptions. Optimal color cycles containing six, eight, and ten colors were generated using the data-driven aesthetic-preference model and accessibility constraints. Due to the balance of aesthetics and accessibility considerations, the resulting color cycles can serve as reasonable defaults in data-plotting codes.

中文翻译：

---

用于数据可视化的可访问颜色循环

颜色循环，用于数据可视化的有序颜色集，在美学与可访问性考虑因素之间取得平衡。为了模拟审美偏好，通过在线调查收集数据，并将结果用于训练机器学习模型。为了确保可访问性，该模型与最小感知距离约束相结合，包括模拟色觉缺陷，以及用于灰度打印的最小亮度距离约束，用于保持与白色背景的对比度的最大亮度约束，以及颜色显着性模型的分数，以便于在口头和书面描述中使用颜色。使用数据驱动的审美偏好模型和可访问性约束生成包含六、八和十种颜色的最佳颜色循环。