Neighborhood effects in visual word recognition: Facilitatory or inhibitory?
Open accessAbstract
In five experiments, in which subjects were to identify a target word as it was gradually clarified, we manipulated the target's frequency of occurrence in the language and its neighborhood size--the number of words that can be constructed from a target word by changing one letter, while preserving letter position. In Experiments 1-4, visual identification performance to screen-fragmented words was measured. In Experiments 1 and 2, we used the ascending method of limits, whereas Experiments 3 and 4 presented a fixed-level fragment. In Experiment 1, there was no relation between overall accuracy and neighborhood size for words between three and six letters in length. However, more errors of commission (guesses) were made for high-neighborhood words and more errors of omission (blanks) were made for low-neighborhood words. Letter errors within guesses occurred at serial positions having many neighbors, and these positions were also likely to contain consonants rather than vowels. In Experiment 2, a small facilitatory effect of neighborhood size on both high- and low-frequency words was found. In contrast, in Experiments 3 and 4, using the same set of words, inhibitory effects of neighborhood size, but only for low-frequency words, were found. Experiment 5, using a speeded identification task, showed results parallel to those of Experiments 3 and 4. We suggest that whether neighborhood effects are facilitatory or inhibitory depends on whether feedback allows subjects to disconfirm initial hypotheses that the target is a high-frequency neighbor.
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Snodgrass and Minzer (1993) found that successive guessing yielded null effects or weak facilitatory effects of neighborhood size, but when subjects made a single identification response, accuracy was lower for low-frequency words from large neighborhoods.
“The successive guessing procedure yielded null effects or weak facilita-tory effects of neighborhood size, but when subjects were required to make a single identification response, accuracy was lower for low-frequency words from large neighborhoods.”
From The effect of orthographic similarity on lexical retrieval: Resolving neighborhood conflicts (1997) · cites this paper as Snodgrass & Minzer, 1993
Perceptual identification tasks provide useful insights into the similarity relationships that influence perceptual and response processes, but the perceptual ambiguity of the stimuli encourages application of strategic guessing processes that may curtail or obscure the effects.
“Thus, perceptual identification tasks provide useful insights into the similarity relationships that influence perceptual and response processes (Snodgrass & Minzer, 1993), but the perceptual ambiguity ofthe stimuli encourages application ofstrategic guessing processes that may curtail or obscure the”
From The effect of orthographic similarity on lexical retrieval: Resolving neighborhood conflicts (1997) · cites this paper as Snodgrass & Minzer, 1993
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- Authors
- Snodgrass, J. G., & Mintzer, M.
- Affiliations
- New York University (US)
- Corresponding author
- Snodgrass, Joan Gay
- Venue
- Memory & Cognition
- Published
- 1993-03
- Volume
- 21
- Issue
- 2
- Pages
- 247-266
- ISSN
- 0090-502X (ISSN-L)
- 1532-5946
- OpenAlex
- W2048557587
- Cited by
- 73
- References
- 39
- Citations by year
- 2026: 1 · 2025: 1 · 2021: 1 · 2019: 3 · 2018: 1 · 2017: 2 · 2016: 1 · 2015: 1 · 2014: 1 · 2013: 1 · 2012: 1
- FWCI
- 5.90
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Memory & Cognition (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Social Sciences › Psychology › Developmental and Educational Psychology › Reading and Literacy Development
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neurobiology of Language and Bilingualism
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory Processes and Influences
- Keywords
- neighborhood effects, visual word recognition, word frequency, neighborhood size, commission errors, omission errors, feedback, hypothesis testing
- MeSH terms
- Adult, Attention, Discrimination Learning, Female, Humans, Male, Phonetics, Problem Solving, Mental Recall, Semantics, Verbal Learning
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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