research-article

Exploratory font selection using crowdsourced attributes

Authors:

Peter O'Donovan,

Jānis Lībeks,

Aseem Agarwala,

Aaron HertzmannAuthors Info & Claims

ACM Transactions on Graphics (TOG), Volume 33, Issue 4

Article No.: 92, Pages 1 - 9

https://doi.org/10.1145/2601097.2601110

Published: 27 July 2014 Publication History

Abstract

This paper presents interfaces for exploring large collections of fonts for design tasks. Existing interfaces typically list fonts in a long, alphabetically-sorted menu that can be challenging and frustrating to explore. We instead propose three interfaces for font selection. First, we organize fonts using high-level descriptive attributes, such as "dramatic" or "legible." Second, we organize fonts in a tree-based hierarchical menu based on perceptual similarity. Third, we display fonts that are most similar to a user's currently-selected font. These tools are complementary; a user may search for "graceful" fonts, select a reasonable one, and then refine the results from a list of fonts similar to the selection. To enable these tools, we use crowdsourcing to gather font attribute data, and then train models to predict attribute values for new fonts. We use attributes to help learn a font similarity metric using crowdsourced comparisons. We evaluate the interfaces against a conventional list interface and find that our interfaces are preferred to the baseline. Our interfaces also produce better results in two real-world tasks: finding the nearest match to a target font, and font selection for graphic designs.

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Cited By

Sun QCui JGu ZGurrin CKongkachandra RSchoeffmann KDang-Nguyen DRossetto LSatoh SZhou L(2024)Extending CLIP for Text-to-font RetrievalProceedings of the 2024 International Conference on Multimedia Retrieval10.1145/3652583.3657624(1170-1174)Online publication date: 30-May-2024
https://dl.acm.org/doi/10.1145/3652583.3657624
Dreher AVouga EFussell DBaeza-Yates RBonchi F(2024)Estimated Judge Reliabilities for Weighted Bradley-Terry-Luce Are Not ReliableProceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining10.1145/3637528.3671907(642-653)Online publication date: 25-Aug-2024
https://dl.acm.org/doi/10.1145/3637528.3671907
Cai TNiklaus AKerr BKraley MBylinskii Z(2024)COR Themes for Readability from Iterative FeedbackProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642108(1-23)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642108
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Index Terms

Exploratory font selection using crowdsourced attributes
1. Software and its engineering
  1. Software notations and tools
    1. Development frameworks and environments
      1. Integrated and visual development environments

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Published In

cover image ACM Transactions on Graphics

ACM Transactions on Graphics Volume 33, Issue 4

July 2014

1366 pages

ISSN:0730-0301

EISSN:1557-7368

DOI:10.1145/2601097

Issue’s Table of Contents

Copyright © 2014 ACM.

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Publication History

Published: 27 July 2014

Published in TOG Volume 33, Issue 4

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Cited By

Sun QCui JGu ZGurrin CKongkachandra RSchoeffmann KDang-Nguyen DRossetto LSatoh SZhou L(2024)Extending CLIP for Text-to-font RetrievalProceedings of the 2024 International Conference on Multimedia Retrieval10.1145/3652583.3657624(1170-1174)Online publication date: 30-May-2024
https://dl.acm.org/doi/10.1145/3652583.3657624
Dreher AVouga EFussell DBaeza-Yates RBonchi F(2024)Estimated Judge Reliabilities for Weighted Bradley-Terry-Luce Are Not ReliableProceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining10.1145/3637528.3671907(642-653)Online publication date: 25-Aug-2024
https://dl.acm.org/doi/10.1145/3637528.3671907
Cai TNiklaus AKerr BKraley MBylinskii Z(2024)COR Themes for Readability from Iterative FeedbackProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642108(1-23)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642108
Tatsukawa YShen IQi AKoyama YIgarashi TShamir A(2024)FontCLIP: A Semantic Typography Visual‐Language Model for Multilingual Font ApplicationsComputer Graphics Forum10.1111/cgf.1504343:2Online publication date: 30-Apr-2024
https://doi.org/10.1111/cgf.15043
Xie LShu XSu JWang YChen SQu H(2024)Creating Emordle: Animating Word Cloud for Emotion ExpressionIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2023.328639230:8(5198-5211)Online publication date: 1-Aug-2024
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Lim SLee YSong Y(2024)Definition and Automatic Extraction Performance Analysis of Stroke Elements in the English AlphabetIEEE Access10.1109/ACCESS.2024.336048212(18931-18938)Online publication date: 2024
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Kubota YHaraguchi DUchida S(2024)Impression-CLIP: Contrastive Shape-Impression Embedding for FontsDocument Analysis and Recognition - ICDAR 202410.1007/978-3-031-70536-6_5(70-85)Online publication date: 30-Aug-2024
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