2014
DOI: 10.1075/idj.21.1.05boh
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Letter and symbol misrecognition in highly legible typefaces for general, children, dyslexic, visually impaired and ageing readers

Abstract: This paper identifies easily misrecognised letters and symbols in highly legible typefaces for general, children, dyslexic, visually impaired and ageing users. It can also be considered as a review of related research in this area.

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Cited by 4 publications
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“…Thus, the research question could be put this way: Would the detectors of a given letter (e.g., “m”) be activated early in processing when a word not containing this specific letter—but containing a multi-letter homoglyph (e.g., docurnent )—is briefly presented? This question is not only important at a theoretical level (i.e., it would help refine the perceptual feature-letter front-end of models of printed word recognition); at an applied level, the potential confusability across letters is a matter of serious concern when accessing Internet websites (Davis & Suignard, 2012; see also Bohm, 2015). As acknowledged on the Microsoft website when discussing security in Internet domain names, “rnicrosoft.com looks much like microsoft.com,” 3 and this may lead to spoofing attacks (see Gabrilovich & Gontmakher, 2002; Krammer, 2006).…”
mentioning
confidence: 99%
“…Thus, the research question could be put this way: Would the detectors of a given letter (e.g., “m”) be activated early in processing when a word not containing this specific letter—but containing a multi-letter homoglyph (e.g., docurnent )—is briefly presented? This question is not only important at a theoretical level (i.e., it would help refine the perceptual feature-letter front-end of models of printed word recognition); at an applied level, the potential confusability across letters is a matter of serious concern when accessing Internet websites (Davis & Suignard, 2012; see also Bohm, 2015). As acknowledged on the Microsoft website when discussing security in Internet domain names, “rnicrosoft.com looks much like microsoft.com,” 3 and this may lead to spoofing attacks (see Gabrilovich & Gontmakher, 2002; Krammer, 2006).…”
mentioning
confidence: 99%