It is important to emphasize that the user settings (and their values) implementers will offer users is as equally – if not more – important as the typefaces themselves. If needed, the sources of papers and studies available online at the time of this research are listed in this companion article. the sizing, spacing, and arrangement of type, but not typeface design per se – a few scientific papers found that certain variations in typography offer statistically significant benefits to dyslexic readers. Typography is indeed a system and other factors have to be taken into account: Some studies found that for certain subsets of reading errors, special dyslexia fonts do reduce error rates for dyslexic readers, yet for other subsets of errors, special dyslexic fonts were no better, or in some cases worse hence, the findings on reading errors are mixed. In the scientific literature, I found no evidence that special dyslexia fonts confer statistically significant improvements in reading speed compared to standard, run-of-the-mill fonts. Typefaces don’t work in a vacuumįrom research conducted by Charles Bigelow – who designed Lucida and Wingdings with Kris Holmes –, on a corpus of existing scientific research and books: As a consequence, implementers willing to provide the best experience possible should try to keep up-to-date. This is a tricky topic, and it needs quite some expertise, so those won’t be recommendations per se but mere insights, since extended research is currently being done in this field. Font-family: "方體", "PingFang TC", "黑體", "Heiti TC", "Microsoft JhengHei UI", "Microsoft JhengHei", Roboto, Noto, "Noto Sans CJK TC", sans-serif
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