Personalized Font Recommendations: Combining ML and Typographic Guidelines to Optimize Readability-Reference-Cited by-同舟云学术

Personalized Font Recommendations: Combining ML and Typographic Guidelines to Optimize Readability

Published:2022-06-13 Issue: Volume: Page:
ISSN:
Container-title:Designing Interactive Systems Conference
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Author:

Cai Tianyuan¹,Wallace Shaun²,Rezvanian Tina¹,Dobres Jonathan³,Kerr Bernard¹,Berlow Samuel⁴,Huang Jeff⁵,Sawyer Ben D.⁶,Bylinskii Zoya⁷

Affiliation:

1. Adobe, United States

2. Computer Science, Brown University, United States

3. Virtual Readability Lab, United States

4. Typography for Good, United States

5. Department of Computer Science, Brown University, United States

6. University of Central Florida, United States

7. Creative Intelligence Lab, Adobe Research, United States

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3532106.3533457

Reference102 articles.

1. David Amdur. 2006. Typographic design in the digital studio. Thomson Delmar Learning. David Amdur. 2006. Typographic design in the digital studio. Thomson Delmar Learning.

2. Serifs and font legibility

3. Reading with fixed and variable character pitch

4. Selection of the optimum font type and size interface for on screen continuous reading by young adults: an ergonomic approach;Banerjee Jayeeta;Journal of human ergology,2011

5. Readability, Subjective Preference and Mental Workload Studies on Young Indian Adults for Selection of Optimum Font Type and Size during Onscreen Reading;Banerjee Jayeeta;Al Ameen Journal of Medical Sciences,2011

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