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话语表象:将讨论锚定在数据可视化中。

Discursive Patinas: Anchoring Discussions in Data Visualizations.

作者信息

Kauer Tobias, Akbaba Derya, Dork Marian, Bach Benjamin

出版信息

IEEE Trans Vis Comput Graph. 2025 Jan;31(1):1246-1256. doi: 10.1109/TVCG.2024.3456334. Epub 2024 Nov 25.

DOI:10.1109/TVCG.2024.3456334
PMID:39269807
Abstract

This paper presents discursive patinas, a technique to visualize discussions onto data visualizations, inspired by how people leave traces in the physical world. While data visualizations are widely discussed in online communities and social media, comments tend to be displayed separately from the visualization and we lack ways to relate these discussions back to the content of the visualization, e.g., to situate comments, explain visual patterns, or question assumptions. In our visualization annotation interface, users can designate areas within the visualization. Discursive patinas are made of overlaid visual marks (anchors), attached to textual comments with category labels, likes, and replies. By coloring and styling the anchors, a meta visualization emerges, showing what and where people comment and annotate the visualization. These patinas show regions of heavy discussions, recent commenting activity, and the distribution of questions, suggestions, or personal stories. We ran workshops with 90 students, domain experts, and visualization researchers to study how people use anchors to discuss visualizations and how patinas influence people's understanding of the discussion. Our results show that discursive patinas improve the ability to navigate discussions and guide people to comments that help understand, contextualize, or scrutinize the visualization. We discuss the potential of anchors and patinas to support discursive engagements, including critical readings of visualizations, design feedback, and feminist approaches to data visualization.

摘要

本文介绍了话语铜绿,这是一种受人们在现实世界中留下痕迹的方式启发,将讨论可视化到数据可视化上的技术。虽然数据可视化在在线社区和社交媒体中得到了广泛讨论,但评论往往与可视化分开显示,我们缺乏将这些讨论与可视化内容联系起来的方法,例如定位评论、解释视觉模式或质疑假设。在我们的可视化注释界面中,用户可以在可视化中指定区域。话语铜绿由叠加的视觉标记(锚点)组成,这些标记与带有类别标签、点赞和回复的文本评论相连。通过对锚点进行着色和样式设置,一个元可视化就会出现,展示人们在何处以及对可视化的哪些内容进行评论和注释。这些铜绿展示了讨论激烈的区域、最近的评论活动以及问题、建议或个人故事的分布情况。我们与90名学生、领域专家和可视化研究人员举办了研讨会,以研究人们如何使用锚点来讨论可视化以及铜绿如何影响人们对讨论的理解。我们的结果表明,话语铜绿提高了浏览讨论的能力,并引导人们找到有助于理解、情境化或审视可视化的评论。我们讨论了锚点和铜绿在支持话语参与方面的潜力,包括对可视化的批判性阅读、设计反馈以及数据可视化的女性主义方法。

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