Chotisarn Noptanit, Lu Junhua, Ma Libinzi, Xu Jingli, Meng Linhao, Lin Bingru, Xu Ying, Luo Xiaonan, Chen Wei
State Key Lab of CAD&CG, Zhejiang University, Hangzhou, China.
Guilin University of Electronic Technology, Guilin, China.
J Vis (Tokyo). 2021;24(1):101-115. doi: 10.1007/s12650-020-00690-7. Epub 2020 Sep 1.
Hashtag data are common and easy to acquire. Thus, they are widely used in studies and visual data storytelling. For example, a recent story by China Central Television Europe depicts Brexit as a hashtag movement displayed on an animated bubble chart. However, creating such a story is usually laborious and tedious, because narrators have to switch between different tools and discuss with different collaborators. To reduce the burden, we develop a prototype system to help explore the bubbles' movement by automatically inserting animations connected to the storytelling of the video creators and the interaction of viewers to those videos. We demonstrate the usability of our method through both use cases and a semi-structured user study.
主题标签数据常见且易于获取。因此,它们在研究和视觉数据讲述中被广泛使用。例如,中国中央电视台欧洲频道最近的一则报道将英国脱欧描绘成一个显示在动画气泡图上的主题标签运动。然而,创作这样的报道通常既费力又繁琐,因为叙述者必须在不同工具之间切换,并与不同的合作者进行讨论。为减轻负担,我们开发了一个原型系统,通过自动插入与视频创作者的故事讲述以及观众与这些视频的互动相关的动画,来帮助探索气泡的运动。我们通过用例和半结构化用户研究证明了我们方法的可用性。