Literature DB >> 25171049

Literacy effects on language and vision: emergent effects from an amodal shared resource (ASR) computational model.

Alastair C Smith1, Padraic Monaghan2, Falk Huettig3.   

Abstract

Learning to read and write requires an individual to connect additional orthographic representations to pre-existing mappings between phonological and semantic representations of words. Past empirical results suggest that the process of learning to read and write (at least in alphabetic languages) elicits changes in the language processing system, by either increasing the cognitive efficiency of mapping between representations associated with a word, or by changing the granularity of phonological processing of spoken language, or through a combination of both. Behavioural effects of literacy have typically been assessed in offline explicit tasks that have addressed only phonological processing. However, a recent eye tracking study compared high and low literate participants on effects of phonology and semantics in processing measured implicitly using eye movements. High literates' eye movements were more affected by phonological overlap in online speech than low literates, with only subtle differences observed in semantics. We determined whether these effects were due to cognitive efficiency and/or granularity of speech processing in a multimodal model of speech processing - the amodal shared resource model (ASR, Smith, Monaghan, & Huettig, 2013a,b). We found that cognitive efficiency in the model had only a marginal effect on semantic processing and did not affect performance for phonological processing, whereas fine-grained versus coarse-grained phonological representations in the model simulated the high/low literacy effects on phonological processing, suggesting that literacy has a focused effect in changing the grain-size of phonological mappings.
Copyright © 2014 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Computational modelling; Eye movements; Literacy; Speech processing; Visual attention; Visual world paradigm

Mesh:

Year:  2014        PMID: 25171049     DOI: 10.1016/j.cogpsych.2014.07.002

Source DB:  PubMed          Journal:  Cogn Psychol        ISSN: 0010-0285            Impact factor:   3.468


  2 in total

1.  Canalization of Language Structure From Environmental Constraints: A Computational Model of Word Learning From Multiple Cues.

Authors:  Padraic Monaghan
Journal:  Top Cogn Sci       Date:  2016-12-18

2.  Using eye tracking and gaze pattern analysis to test a "dirty bomb" decision aid in a pilot RCT in urban adults with limited literacy.

Authors:  Sarah Bauerle Bass; Thomas F Gordon; Ryan Gordon; Claudia Parvanta
Journal:  BMC Med Inform Decis Mak       Date:  2016-06-08       Impact factor: 2.796

  2 in total

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