Computational models, educational implications, and methodological innovationsThe realm of visual word recognition

  1. Manuel Perea 1
  2. Ana Marcet 1
  3. Melanie Labusch 1
  4. Ana Baciero 2
  5. María Fernández-López 1
  1. 1 Universitat de València
    info

    Universitat de València

    Valencia, España

    ROR https://ror.org/043nxc105

  2. 2 Bournemouth University
    info

    Bournemouth University

    Poole, Reino Unido

    ROR https://ror.org/05wwcw481

Revista:
Psicológica: Revista de metodología y psicología experimental

ISSN: 1576-8597

Año de publicación: 2023

Volumen: 44

Número: 2

Tipo: Artículo

DOI: 10.20350/DIGITALCSIC/15259 DIALNET GOOGLE SCHOLAR lock_openAcceso abierto editor

Otras publicaciones en: Psicológica: Revista de metodología y psicología experimental

Resumen

This article aims to provide an overview of the current status of visual word recognition research, from the main models and their current challenges, to the educational and methodological implications of studies in this field. Visual word recognition is a critical reading process that connects visual sensation and perception with linguistic (sentence, text) processing. For this reason, it has captured the interest of researchers in cognitive science. Importantly, it is particularly easy to model quantitatively and researchers have developed a number of computational models to explain the processes involved. Recent years have witnessed an increasing number of corpora in several languages, including average identification times of thousands of words, allowing virtual simulations of experiments to test the predictions of theoretical models without the recruitment of participants. Nevertheless, despite the advances achieved in the understanding of word processing, models still have outstanding questions to be answered, such as the role of visual information during word recognition, or how diacritics are represented at the letter level. On the applied side, word recognition research has also contributed to the improvement of educational techniques, such as the development of friendly fonts for different populations, along with methodological innovations in cognitive psychology, such as the use of linear-mixed effects models, Bayesian methods and multi-laboratory approaches.

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