ShapeWordle: Tailoring Wordles using Shape-aware Archimedean Spirals

Yunhai Wang (1) , Xiaowei Chu (1) , Kaiyi Zhang (1) , Chen Bao (1) , Xiaotong Li (2) , Jian Zhang (3) , Chi-Wing Fu (4) , Christophe Hurter (5) , Bongshin Lee (6) , Oliver Deussen (7)

1 Shandong University
2 Northwestern University [Evanston]
3 CAS - Chinese Academy of Sciences [Beijing]
4 CUHK - The Chinese University of Hong Kong [Hong Kong]
5 ENAC - Ecole Nationale de l'Aviation Civile
6 Microsoft Research [Redmond]
7 Universität Konstanz

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.

Mots clés: Wordle; Archimedean spiral; shape

Domaines: Informatique [cs]

Yunhai Wang, Xiaowei Chu, Kaiyi Zhang, Chen Bao, Xiaotong Li, et al.. ShapeWordle: Tailoring Wordles using Shape-aware Archimedean Spirals. IEEE Transactions on Visualization and Computer Graphics, 2020, 26 (1), pp.1-1. ⟨10.1109/TVCG.2019.2934783⟩. ⟨hal-02399743⟩