解读鸿沟：从图表到信息，再回到图表
The Gulf of Interpretation: From Chart to Message and Back Again
AI总结：
本研究采用混合方法，对比数据记者编码的图表预期信息与多类受众的解读差异，发现数据量、陌生术语及编码惯例会造成解读鸿沟，为优化图表信息传递提供依据。
摘要：
图表用于以可视化方式传递数据，但我们往往并不清楚图表的预期信息是否与读者感知到的信息一致。在这项混合方法研究中，我们探究数据记者如何对数据进行编码，以及广泛受众群体如何接触、体验和理解这些可视化内容。我们针对中小学生与大学生、求职者、设计师及老年群体开展了工作坊和访谈，收集他们对8张真实场景图表的感知信息与反馈。我们分析了这些信息，并将其与图表的预期信息进行对比。研究结果有助于理解（制作者编码的）信息与观看者解读之间可能存在的鸿沟。具体而言，我们发现受众常因提供的数据量过大而感到负担过重，且容易被不熟悉的术语混淆。图表制作者往往遵循严格的惯例来对特定信息进行可视化编码，但这些惯例并非总能给受众带来帮助。
英文摘要：
Charts are used to communicate data visually, but often, we do not know whether a chart's intended message aligns with the message readers perceive. In this mixed-methods study, we investigate how data journalists encode data and how members of a broad audience engage with, experience, and understand these visualizations. We conducted workshops and interviews with school and university students, job seekers, designers, and senior citizens to collect perceived messages and feedback on eight real-world charts. We analyzed these messages and compared them to the intended message. Our results help to understand the gulf that can exist between messages (that producers encode) and viewer interpretations. In particular, we find that consumers are often overwhelmed with the amount of data provided and are easily confused with terms that are not well known. Chart producers tend to follow strong conventions on how to visually encode particular information that might not always benefit consumers.
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。
