论述性的彩绘:数据可视化中的锚定讨论

Tobias Kauer;Derya Akbaba;Marian Dörk;Benjamin Bach
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摘要

本文介绍了一种将讨论可视化到数据可视化中的技术--"论述锈蚀"(discursive patinas),其灵感来自人们如何在物理世界中留下痕迹。虽然数据可视化在网络社区和社交媒体中被广泛讨论,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,对评论进行定位、解释可视化模式或质疑假设。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。讨论区是由叠加的视觉标记(锚点)组成的,并附有类别标签、点赞和回复等文字评论。通过对锚点进行着色和定型,元可视化就会出现,显示人们在哪些地方对可视化发表了评论和注释。这些铜绿显示了讨论较多的区域、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,研究人们如何使用锚点来讨论可视化,以及锚点如何影响人们对讨论的理解。我们的研究结果表明,话语补丁提高了人们浏览讨论的能力,并引导人们发表有助于理解可视化、了解可视化背景或仔细研究可视化的评论。我们讨论了锚点和补丁在支持话语参与方面的潜力,包括对可视化的批判性解读、设计反馈以及数据可视化的女性主义方法。
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Discursive Patinas: Anchoring Discussions in Data Visualizations
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.
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