AI model recommends personalized fonts to improve digital reading, accessibility

Credit: Pixabay/CC0 Public Domain

A UCF readability researcher worked with an Adobe team on a machine learning model to provide personalized font recommendations that improve the accessibility of digital information and enhance individual reading experiences.

The team was comprised of Adobe machine learning engineers and researchers who collaborated with vision scientists, typographers, data scientists, and a UCF readability researcher to study Adobe’s machine learning model known as FontMART.
The results were recently published in ACM Designing Interactive Systems 2022.
Adobe is part of The Readability Consortium that leads UCF’s digital readability research using individuated typography to enhance digital readability for …

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