发表机构
University of Oklahoma; University of North Carolina at Chapel Hill（俄克拉荷马大学; 北卡罗来纳大学教堂山分校）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本研究通过50个新闻折线图实验，发现标题字数与预期信息显著影响观众模式识别，凸显标题设计对图表理解与可视化沟通的关键作用。
AI 中文摘要
数字媒体中的视觉数据沟通日益以短注意力和基于快照的浏览为特征，常使用折线图来传达趋势和模式。在所有视觉元素中，标题是关键元素之一，能够塑造观众如何解读视觉信息并形成图表要点。在本研究中，我们考察了标题特征，特别是标题字数与预期信息，如何影响人们在单类折线图中的模式识别。参与者观看了从在线新闻媒体收集的50个折线图，并识别他们所感知到的模式。我们的结果表明，标题字数和预期信息均显著影响观众的模式识别。我们的发现强调了标题设计在塑造图表要点和有效可视化沟通中的重要性。
英文摘要
Visual data communication in digital media is increasingly characterized by short attention spans and snapshot-based viewing, often employing line charts to convey trends and patterns. Among all visual elements, titles are crucial ones that can shape how viewers interpret visual information and form chart takeaways. In this study, we examine how title characteristics, particularly title word count and intended message, influence people's pattern identification in single-class line charts. Participants viewed 50 line charts collected from online news media and identified the pattern they perceived. Our results demonstrate that both title word count and intended message significantly influence viewers' pattern identification. Our findings highlight the importance of title design in shaping chart takeaways and effective visualization communication.
