AI模型能欣赏文档美学吗？关于易读性、布局质量与预测置信度关系的探索
Can AI Models Appreciate Document Aesthetics? An Exploration of Legibility and Layout Quality in Relation to Prediction Confidence
- Thomson Reuters Labs（汤姆森路透实验室）
机构由 AI 辅助整理，请以论文原文为准。
AI总结：
本文探索文档AI模型对美学元素（易读性和布局质量）的捕捉能力，通过相关性分析检验噪声、字体大小对比、对齐和复杂性对模型置信度的影响，为基于文档设计理论的模型分析提供新视角。
AI中文摘要：
设计良好的文档不仅通过文字传达信息，还通过其视觉表现力来实现。作者利用颜色、字体、图形和布局等美学元素来塑造信息的感知。融入心理学见解的周到文档设计，能同时提升视觉吸引力和内容理解度。尽管最先进的文档AI模型展示了融合布局和图像数据的优势，但尚不清楚是否有效捕捉了文档美学的细微差别。为弥合人类认知与AI对美学元素解释之间的差距，我们提出了关于AI在文档理解任务中行为的假设，该假设特别锚定于文档设计原则。聚焦于易读性和布局质量，我们通过相关性分析检验了四个方面的美学效果：噪声、字体大小对比、对齐和复杂性对模型置信度的影响。结果和观察突显了根植于文档设计理论的模型分析的价值。我们的工作为后续研究奠定了起点，并倡导持续开展该主题的研究，以深化对AI如何解释文档美学的理解。
英文摘要：
A well-designed document communicates not only through its words but also through its visual eloquence. Authors utilize aesthetic elements such as colors, fonts, graphics, and layouts to shape the perception of information. Thoughtful document design, informed by psychological insights, enhances both the visual appeal and the comprehension of the content. While state-of-the-art document AI models demonstrate the benefits of incorporating layout and image data, it remains unclear whether the nuances of document aesthetics are effectively captured. To bridge the gap between human cognition and AI interpretation of aesthetic elements, we formulated hypotheses concerning AI behavior in document understanding tasks, specifically anchored in document design principles. With a focus on legibility and layout quality, we tested four aspects of aesthetic effects: noise, font-size contrast, alignment, and complexity, on model confidence using correlational analysis. The results and observations highlight the value of model analysis rooted in document design theories. Our work serves as a trailhead for further studies and we advocate for continued research in this topic to deepen our understanding of how AI interprets document aesthetics.
