Towards Individuated Reading Experiences: Different Fonts Increase Reading Speed for Different Individuals

Author:

Wallace Shaun1ORCID,Bylinskii Zoya2,Dobres Jonathan3,Kerr Bernard4,Berlow Sam5,Treitman Rick6,Kumawat Nirmal4,Arpin Kathleen7,Miller Dave B.3,Huang Jeff8,Sawyer Ben D.3

Affiliation:

1. Brown University, Adobe Inc., Cambridge, MA

2. Adobe Inc., Cambridge, MA

3. Virtual Readability Lab, University of Central Florida, Orlando, FL

4. Adobe Inc., San Jose, CA

5. Typography for Good, Putney, VT

6. Adobe Inc., Newton, MA

7. Riverdale Country School, Bronx, NY

8. Brown University, Providence, RI

Abstract

In our age of ubiquitous digital displays, adults often read in short, opportunistic interludes. In this context of Interlude Reading , we consider if manipulating font choice can improve adult readers’ reading outcomes. Our studies normalize font size by human perception and use hundreds of crowdsourced participants to provide a foundation for understanding, which fonts people prefer and which fonts make them more effective readers. Participants’ reading speeds (measured in words-per-minute (WPM)) increased by 35% when comparing fastest and slowest fonts without affecting reading comprehension. High WPM variability across fonts suggests that one font does not fit all. We provide font recommendations related to higher reading speed and discuss the need for individuation, allowing digital devices to match their readers’ needs in the moment. We provide recommendations from one of the most significant online reading efforts to date. To complement this, we release our materials and tools with this article.

Funder

National Science Foundation

Publisher

Association for Computing Machinery (ACM)

Subject

Human-Computer Interaction

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4. Justin Baer Mark Kutner John Sabatini and Sheida White. 2009. Basic reading skills and the literacy of America’s least literate adults: Results from the 2003 National Assessment of Adult Literacy (NAAL) Supplemental Studies. NCES 2009–481. National Center for Education Statistics 1 1 (2009) 1–83.

5. Rachel V Ball Dave B Miller Shaun Wallace Kathlyn Camargo Macias Mahmoud Ibrahim Ernesto Robalino Gonzaga Olga Karasik Dekai R Rohlsen-Neal Sarah Barrientos Edward A Ross Abdo Asmar Ashley M Hughes Hancock Peter A and Ben D Sawyer2021. Optimizing electronic health records through readability. In Proceedings of the International Symposium on Human Factors and Ergonomics in Health Care Vol. 10 . Sage Publications Sage CA: Los Angeles CA Los Angeles CA USA 65–70.

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