2016
DOI: 10.3758/s13423-016-1180-9
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Is nevtral NEUTRAL? Visual similarity effects in the early phases of written-word recognition

Abstract: For simplicity, contemporary models of written-word recognition and reading have unspecified feature/letter levels-they predict that the visually similar substituted-letter nonword PEQPLE is as effective at activating the word PEOPLE as the visually dissimilar substituted-letter nonword PEYPLE. Previous empirical evidence on the effects of visual similarly across letters during written-word recognition is scarce and nonconclusive. To examine whether visual similarity across letters plays a role early in word p… Show more

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Cited by 38 publications
(62 citation statements)
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“…Clearly, future implementations of models of visual word recognition should offer a more developed account of the initial moments of letter processing. Keep in mind that the current versions of computational models of word recognition employ a rather rudimentary encoding of letter units (see Marcet & Perea, 2017. Furthermore, from a general standpoint, the lack of uniformity/segmentation that characterizes handwritten words is closer to that encountered when perceiving objects in everyday life.…”
Section: Discussionmentioning
confidence: 99%
“…Clearly, future implementations of models of visual word recognition should offer a more developed account of the initial moments of letter processing. Keep in mind that the current versions of computational models of word recognition employ a rather rudimentary encoding of letter units (see Marcet & Perea, 2017. Furthermore, from a general standpoint, the lack of uniformity/segmentation that characterizes handwritten words is closer to that encountered when perceiving objects in everyday life.…”
Section: Discussionmentioning
confidence: 99%
“…To assess how effective the visually similar primes were, they also included an identity condition. Marcet and Perea (2017) found faster word identification times in the visually similar substituted-letter condition than in the visually dissimilar substituted-letter condition (e.g., dentjst-DENTIST was responded to faster than dentgst-DENTIST). Furthermore, the visually similar substituted-letter condition produced word identification times that were only slightly slower than those in the identity condition (see also Marcet & Perea, 2018b, for evidence of this pattern during sentence reading using the boundary technique).…”
mentioning
confidence: 84%
“…For letter-replacement primes, word identification times were faster for HRHNDONabandon than for DWDNDON-abandon, but the difference only approached significance (p = 0.09). More recently, Marcet and Perea (2017) conducted two masked priming lexical decision experiments with a larger number of data points per condition than in the Kinoshita et al (2013) experiment (2,160 vs. 740, respectively). To create the replaced-letter primes from the target words, Marcet and Perea (2017) substituted a single letter that was visually very similar (e.g., i→j, as in dentjst-DENTIST) or not (e.g., i→g, dentgst-DENTIST) using the Simpson et al (2012) ratings of visual letter similarity.…”
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confidence: 99%
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