Visual Computing

University of Konstanz
IEEE Transactions on Visualization and Computer Graphics

ShapeWordle : Tailoring Wordles using Shape-aware Archimedean Spirals

Y. Wang, X. Chu, K. Zhang, C. Bao, X. Li, J. Zhang, C. Fu, C. Hurter, O. Deussen, B. Lee
Teaser of ShapeWordle : Tailoring Wordles using Shape-aware Archimedean Spirals

Material

Paper (.pdf, 28.8 MB)

Abstract

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

BibTeX

@article{Wang2019ShapeWordleTailoring,
  author     = {Y. Wang and X. Chu and K. Zhang and C. Bao and X. Li and J. Zhang and C. Fu and C. Hurter and O. Deussen and B. Lee},
  doi        = {10.1109/TVCG.2019.2934783},
  issn       = {1077-2626},
  journal    = {IEEE Transactions on Visualization and Computer Graphics},
  title      = {ShapeWordle : Tailoring Wordles using Shape-aware Archimedean Spirals},
  year       = {2019},
  url        = {http://graphics.uni-konstanz.de/publikationen/Wang2019ShapeWordleTailoring},
}