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ShapeWordle: Tailoring Wordles using Shape-aware Archimedean Spirals

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.
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https://hal-enac.archives-ouvertes.fr/hal-02399743
Contributor : Laurence Porte <>
Submitted on : Tuesday, January 5, 2021 - 8:07:48 PM
Last modification on : Sunday, February 28, 2021 - 9:51:30 PM
Long-term archiving on: : Wednesday, April 7, 2021 - 9:33:28 AM

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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, Institute of Electrical and Electronics Engineers, 2020, 26 (1), pp.1-1. ⟨10.1109/TVCG.2019.2934783⟩. ⟨hal-02399743⟩

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