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Vision Research
Article
License: Elsevier Non-Commercial
Data sources: UnpayWall
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Vision Research
Article . 2019 . Peer-reviewed
License: Elsevier Non-Commercial
Data sources: Crossref
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Typeface features and legibility research

Authors: Charles Bigelow;

Typeface features and legibility research

Abstract

In the early 20th century, reading researchers expressed optimism that scientific study of reading would improve the legibility of typefaces. Font-making was, however, complex, expensive and impractical for reading research, which was therefore restricted to standard commercial fonts. The adoption of computer typography in legibility studies makes the measurement, modification and creation of experimental fonts easier, while display of text on computer screens facilitates reading studies. These technical advances have spurred innovative research. Some studies continue to test fonts for efficient reading in low vision as well as normal vision, while others use novel fonts to investigate visual mechanisms in reading. Some experimental fonts incorporate color and animation features that were impractical or impossible in traditional typography. While it is not clear that such innovations will achieve the optimistic goals of a century ago, they extend the investigation and understanding of the nature of reading.

Related Organizations
Keywords

Ophthalmology, Biomedical Research, Reading, Humans, Vision, Low, Comprehension

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    39
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
39
Top 10%
Top 10%
Top 10%
hybrid