是什么让Data-GIF可以理解？
What Makes a Data-GIF Understandable?
摘要：
GIF在社交媒体上越来越受欢迎，作为一种数据驱动的可视化叙事格式;简单的视觉信息嵌入到通常持续不到15秒的短动画中，并自动重复播放。在本文中，我们提出了一个问题，“是什么让一个数据GIF可以理解？“虽然其他讲故事的格式，如数据视频，信息图表或数据漫画相对较好地研究，但我们对“数据GIF”的设计因素和原则知之甚少。为了缩小这一差距，我们提供了来自半结构化访谈和在线研究的结果，共有118名参与者调查了设计决策对数据GIF可理解性的影响。这项研究和我们随后的分析是通过我们在网上找到的108个数据GIF的系统回顾和结构化设计空间来了解的。我们的研究结果表明，从我们的设计空间，如动画编码，上下文保护，或重复观众的理解GIF的核心信息的设计尺寸的影响。本文最后列出了创建更有效的Data-GIF的建议。
英文摘要：
GIFs are enjoying increasing popularity on social media as a format for data-driven storytelling with visualization; simple visual messages are embedded in short animations that usually last less than 15 seconds and are played in automatic repetition. In this paper, we ask the question, "What makes a data-GIF understandable?" While other storytelling formats such as data videos, infographics, or data comics are relatively well studied, we have little knowledge about the design factors and principles for "data-GIFs". To close this gap, we provide results from semi-structured interviews and an online study with a total of 118 participants investigating the impact of design decisions on the understandability of data-GIFs. The study and our consequent analysis are informed by a systematic review and structured design space of 108 data-GIFs that we found online. Our results show the impact of design dimensions from our design space such as animation encoding, context preservation, or repetition on viewers' understanding of the GIF's core message. The paper concludes with a list of suggestions for creating more effective Data-GIFs.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
