Walny Jagoda, Storteboom Sarah, Pusch Richard, Hwang Steven Munsu, Knudsen Soren, Carpendale Sheelagh, Willett Wesley
IEEE Comput Graph Appl. 2020 Mar-Apr;40(2):57-70. doi: 10.1109/MCG.2020.2968906. Epub 2020 Jan 23.
In this article, we present PixelClipper, a tool built for facilitating data engagement events. PixelClipper supports conversations around visualizations in public settings through annotation and commenting capabilities. It is recognized that understanding data is important for an informed society. However, even when visualizations are available on the web, open data is not yet reaching all audiences. Public facilitated events centered around data visualizations may help bridge this gap. PixelClipper is designed to promote discussion and engagement with visualizations in public settings. It allows viewers to quickly and expressively extract visual clippings from visualizations and add comments to them. Ambient and facilitator displays attract attention by showing clippings. They function as entry points to the full visualizations while supporting deeper conversations about the visualizations and data. We describe the design goals of PixelClipper, share our experiences from deploying it, and discuss its future potential in supporting data visualization engagement events.
在本文中，我们介绍了PixelClipper，这是一个为促进数据参与活动而构建的工具。PixelClipper通过注释和评论功能支持在公共环境中围绕可视化进行对话。人们认识到，对于一个信息灵通的社会来说，理解数据很重要。然而，即使网络上有可视化内容，开放数据尚未覆盖所有受众。以数据可视化为中心的公共促进活动可能有助于弥合这一差距。PixelClipper旨在促进在公共环境中对可视化的讨论和参与。它允许观众快速且富有表现力地从可视化中提取视觉剪辑并添加评论。环境展示和主持人展示通过展示剪辑来吸引注意力。它们作为完整可视化的入口点，同时支持关于可视化和数据的更深入对话。我们描述了PixelClipper的设计目标，分享了部署它的经验，并讨论了其在支持数据可视化参与活动方面的未来潜力。
