研究作者如何用AI生成的图注改写论文图注。
Understanding How Paper Writers Use AI-Generated Captions in Figure Caption Writing
- 通过用户实验观察作者如何利用AI生成的图注
- 作者多复制并修改长而详细的图注，但对复杂图效果不佳
- 为学术写作中的图注设计提供新方向
图及其图注在科学出版物中起着关键作用。然而，尽管其重要性显著，许多已发表论文的图注仍质量欠佳，主要由于作者关注不足。以往的AI研究多聚焦于读者视角的图注评估，而非作者在写作中主动整合生成内容。本文通过一项包含18名参与者的用户研究，探讨作者如何将最先进的AI模型生成的图注融入自身写作流程。每位参与者对其近期发表论文中的两幅图重新撰写图注，并以AI生成的图注作为参考。通过分析写作过程的视频记录，发现作者通常先复制并优化AI生成的图注。他们偏好更长、信息更丰富的图注，能结合文本与视觉元素，但认为当前AI模型对复杂图的处理效果有限。这些发现揭示了图注撰写的复杂性，也为未来AI系统支持学术写作提供了设计启示。
原文摘要 · Abstract (English)
Figures and their captions play a key role in scientific publications. However, despite their importance, many captions in published papers are poorly crafted, largely due to a lack of attention by paper authors. While prior AI research has explored caption generation, it has mainly focused on reader-centered use cases, where users evaluate generated captions rather than actively integrating them into their writing. This paper addresses this gap by investigating how paper authors incorporate AI-generated captions into their writing process through a user study involving 18 participants. Each participant rewrote captions for two figures from their own recently published work, using captions generated by state-of-the-art AI models as a resource. By analyzing video recordings of the writing process through interaction analysis, we observed that participants often began by copying and refining AI-generated captions. Paper writers favored longer, detail-rich captions that integrated textual and visual elements but found current AI models less effective for complex figures. These findings highlight the nuanced and diverse nature of figure caption composition, revealing design opportunities for AI systems to better support the challenges of academic writing.
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