Dark mode has gained widespread adoption across mobile platforms due to its benefits in reducing eye strain and conserving battery life. However, while the mobile system switches to dark mode, most visualizations remain designed for light mode, causing visual disruptions. Existing methods, such as manual adjustment or color inversion, are either time-consuming or fail to preserve the semantic meaning of colors in visualizations, making them less effective in dark mode. To address this challenge, we propose Chameleon, an algorithm that automatically transforms light mode visualizations into dark mode while maintaining visual clarity and color semantics. By optimizing for luminance contrast, color consistency, and adjacent color differences, Chameleon ensures that the transformed visualizations are legible and visually coherent. Our evaluation includes case study, expert interview, system evaluation, and a user study, and these demonstrate that Chameleon is effective at translating visualizations for dark mode.

翻译：深色模式因其在缓解视觉疲劳与延长电池续航方面的优势，已在移动平台获得广泛应用。然而，当移动系统切换至深色模式时，多数可视化图表仍为浅色模式设计，导致视觉呈现失调。现有方法（如手动调整或色彩反转）或耗时费力，或难以保持可视化中色彩的语义含义，使其在深色模式下效果欠佳。为应对这一挑战，我们提出变色龙算法，该算法能自动将浅色模式的可视化转换为深色模式，同时保持视觉清晰度与色彩语义。通过优化亮度对比度、色彩一致性与邻近色差，变色龙确保转换后的可视化兼具可读性与视觉协调性。我们的评估涵盖案例研究、专家访谈、系统评估及用户研究，结果表明变色龙能有效实现可视化图表向深色模式的转换。