We present a new technique to enable the creation of shape-bounded Wordles, we call ShapeWordle, in which we fit words to form a given shape. To guide word placement within a shape, we extend the traditional Archimedean spirals to be shape-aware by formulating the spirals in a differential form using the distance field of the shape. To handle non-convex shapes, we introduce a multi-centric Wordle layout method that segments the shape into parts for our shape-aware spirals to adaptively fill the space and generate word placements. In addition, we offer a set of editing interactions to facilitate the creation of semantically-meaningful Wordles. Lastly, we present three evaluations: a comprehensive comparison of our results against the state-of-the-art technique (WordArt), case studies with 14 users, and a gallery to showcase the coverage of our technique
@article{Wang2019ShapeWordleTailoring, author = {Y. Wang, X. Chu, K. Zhang, C. Bao, X. Li, J. Zhang, C. Fu, C. Hurter, O. Deussen, B. Lee}, doi = {10.1109/TVCG.2019.2934783}, issn = {2160-9306}, journal = {IEEE Transactions on Visualization and Computer Graphics}, keywords = {Shape;Layout;Spirals;Tag clouds;Image color analysis;Tools;Semantics;Wordle;Archimedean spiral;shape}, month = {jan}, number = {1}, pages = {991--1000}, title = {ShapeWordle: Tailoring Wordles using Shape-aware Archimedean Spirals}, url = {http://graphics.uni-konstanz.de/publikationen/Wang2019ShapeWordleTailoring}, volume = {26}, year = {2020} }