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AI Model Recommends Personalized Fonts to Improve Reading, Accessibility

By University of Central Florida

August 17, 2022

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Adobe's FontMART machine-learning model can expand digital information accessibility and improve individual reading experiences, according to researchers at the University of Central Florida (UCF) and Adobe. FontMART offers personalized font recommendations that can improve reading speed by matching reader characteristics, such as font familiarity and age, with specific font characteristics, such as heavier weight.

The researchers determined that when recommending a font, reader age plays a significant role, as older adults with weaker and variable eyesight generally find thicker font strokes easier to read.

From University of Central Florida
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