#readingscience — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #readingscience, aggregated by home.social.
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Meet Bernard Kerr, an Associate of The Readability Consortium! Bernard's graphic and information design work have helped lay the visual foundations of The Readability Consortium and the Virtual Readability Lab. His compelling data visualizations have also powered research publications and presentations.
Stay tuned to meet our other Associates!
#research #reading #scienceofreading #readingscience #readability #typography #readingisfundamental #readingmatters #UX #UXdesign #uxdesigner
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"Space for Readability: Effects on Reading Speed from Individuated Character and Word Spacing," studies the influence of character and word spacing on adult reading performance. The work extends prior research that demonstrated individual typeface selection per reader could significantly increase reading speed while maintaining comprehension.
Read more: https://jov.arvojournals.org/article.aspx?articleid=2783976
#reading #scienceofreading #readingscience #betterreading #readability #typography #readingspeed #readingresearch
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Read about the study led by #Adobe ML Research Engineer, Tian Cai, that developed a #machinelearning model known as FontMART that can provide personalized font recommendations to improve reading experiences:
Full study:
https://dl.acm.org/doi/10.1145/3532106.3533457#scienceofreading #readingscience #reading #readability #font #adoberesearch #betterreading #typography #betterreading #technolgy #ai #artificialintelligence #read #research
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This recent paper was a super-interesting read with an elegant model & some great data (#Atari games, crypto white papers, & reddit memes). But... I'm a priori skeptical of *any* #SocialScience paper that uncritically cites books by Malcolm Gladwell and Richard Dawkins.
"Dilution of expertise in the rise and fall of collective innovation", Nature 2022.
https://www.nature.com/articles/s41599-022-01380-5 -
This recent paper was a super-interesting read with an elegant model & some great data (#Atari games, crypto white papers, & reddit memes). But... I'm a priori skeptical of *any* #SocialScience paper that uncritically cites books by Malcolm Gladwell and Richard Dawkins.
"Dilution of expertise in the rise and fall of collective innovation", Nature 2022.
https://www.nature.com/articles/s41599-022-01380-5 -
This recent paper was a super-interesting read with an elegant model & some great data (#Atari games, crypto white papers, & reddit memes). But... I'm a priori skeptical of *any* #SocialScience paper that uncritically cites books by Malcolm Gladwell and Richard Dawkins.
"Dilution of expertise in the rise and fall of collective innovation", Nature 2022.
https://www.nature.com/articles/s41599-022-01380-5