Literature DB >> 30478777

From complexity to distinctiveness: The effect of expertise on letter perception.

Robert W Wiley1, Brenda Rapp2.   

Abstract

Fluent, adult readers of alphabetic languages encounter hundreds of millions of individual letters. What is the impact of such extensive experience on the perception and identification of letters? Recent evidence indicates that expert and naïve observers perceive letters differently. Here, we focus on the relationship between expertise and letter complexity (number of visual features) and distinctiveness (overlap in features with the other letters of the alphabet). Using a same-different letter judgement task, we examined the performance of individuals with high levels of expertise with Roman letters, but with different amounts of experience with the Arabic alphabet. The results reveal a trade-off between letter complexity and distinctiveness, such that while naïve individuals are sensitive only to letter complexity and not distinctiveness, the opposite is true for individuals with high expertise with an alphabet. These findings reveal a learning trajectory in which, with increasing experience, the influence of letter complexity is supplanted by distinctiveness, which requires an understanding of the relationship of each letter to the other possible letter shapes in the alphabet as a whole.

Entities:  

Keywords:  Biscriptal; Complexity; Distinctiveness; Letter perception; Perceptual expertise

Mesh:

Year:  2019        PMID: 30478777      PMCID: PMC6535374          DOI: 10.3758/s13423-018-1550-6

Source DB:  PubMed          Journal:  Psychon Bull Rev        ISSN: 1069-9384


  15 in total

1.  Calculation of signal detection theory measures.

Authors:  H Stanislaw; N Todorov
Journal:  Behav Res Methods Instrum Comput       Date:  1999-02

2.  Perceptual learning in visual search generalizes over tasks, locations, and eyes.

Authors:  R Sireteanu; R Rettenbach
Journal:  Vision Res       Date:  2000       Impact factor: 1.886

3.  Modeling the effects of choice-set size on the processing of letters and words.

Authors:  Jeffrey N Rouder
Journal:  Psychol Rev       Date:  2004-01       Impact factor: 8.934

Review 4.  What attributes guide the deployment of visual attention and how do they do it?

Authors:  Jeremy M Wolfe; Todd S Horowitz
Journal:  Nat Rev Neurosci       Date:  2004-06       Impact factor: 34.870

5.  More use almost always a means a smaller frequency effect: Aging, bilingualism, and the weaker links hypothesis.

Authors:  Tamar H Gollan; Rosa I Montoya; Cynthia Cera; Tiffany C Sandoval
Journal:  J Mem Lang       Date:  2008-04       Impact factor: 3.059

6.  The spatio-temporal dynamics of visual letter recognition.

Authors:  Daniel Fiset; Caroline Blais; Martin Arguin; Karine Tadros; Catherine Ethier-Majcher; Daniel Bub; Frederic Gosselin
Journal:  Cogn Neuropsychol       Date:  2009-02       Impact factor: 2.468

Review 7.  Letter perception: from pixels to pandemonium.

Authors:  Jonathan Grainger; Arnaud Rey; Stéphane Dufau
Journal:  Trends Cogn Sci       Date:  2008-08-27       Impact factor: 20.229

8.  Feature detection and letter identification.

Authors:  Denis G Pelli; Catherine W Burns; Bart Farell; Deborah C Moore-Page
Journal:  Vision Res       Date:  2006-06-30       Impact factor: 1.886

9.  Absolute identification with simple and complex stimuli.

Authors:  J N Rouder
Journal:  Psychol Sci       Date:  2001-07

10.  Perceptual learning and human expertise.

Authors:  Philip J Kellman; Patrick Garrigan
Journal:  Phys Life Rev       Date:  2008-12-14       Impact factor: 11.025

View more
  3 in total

1.  Visual experiences during letter production contribute to the development of the neural systems supporting letter perception.

Authors:  Sophia Vinci-Booher; Karin H James
Journal:  Dev Sci       Date:  2020-04-27

2.  The Effects of Handwriting Experience on Literacy Learning.

Authors:  Robert W Wiley; Brenda Rapp
Journal:  Psychol Sci       Date:  2021-06-29

3.  General object-based features account for letter perception.

Authors:  Daniel Janini; Chris Hamblin; Arturo Deza; Talia Konkle
Journal:  PLoS Comput Biol       Date:  2022-09-26       Impact factor: 4.779

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.