A study led by UCF and Adobe scientists indicated that a machine learning model developed by the software company can improve reading speed by matching reader characteristics with recommended fonts.
Researchers found that changing the font to one better suited to an individual resulted in a 35% increase in reading speed while maintaining comprehension.
Implications of this work include a better understanding of opportunities and appropriate tools for short-term prediction of future trends when variability is high, as well as replacement strategies for datasets with missing values.
The Readability Consortium will explore ways to enable the world to read better by tailoring text to the individual.
From online students to doctors, the developing technology can increase individuals’ reading speed and comprehension for a variety of purposes.
Early studies have shown researchers can accelerate some adults’ reading by more than 25 percent by personalizing the digital-reading experience.
UCF in the News
Orlando Business Journal