IEEE Trans Vis Comput Graph. 2018 Jan;24(1):647-656. doi: 10.1109/TVCG.2017.2745859. Epub 2017 Aug 29.
We present EdWordle, a method for consistently editing word clouds. At its heart, EdWordle allows users to move and edit words while preserving the neighborhoods of other words. To do so, we combine a constrained rigid body simulation with a neighborhood-aware local Wordle algorithm to update the cloud and to create very compact layouts. The consistent and stable behavior of EdWordle enables users to create new forms of word clouds such as storytelling clouds in which the position of words is carefully edited. We compare our approach with state-of-the-art methods and show that we can improve user performance, user satisfaction, as well as the layout itself.
我们提出了 EdWordle,一种一致编辑词云的方法。它的核心思想是允许用户移动和编辑单词,同时保留其他单词的邻域。为此,我们将约束刚体模拟与邻域感知的局部 Wordle 算法相结合,以更新云并创建非常紧凑的布局。EdWordle 的一致和稳定的行为使用户能够创建新形式的词云,例如故事讲述词云,其中单词的位置经过精心编辑。我们将我们的方法与最先进的方法进行了比较,结果表明我们可以提高用户的性能、满意度以及布局本身。