Literature DB >> 23074362

The utility of modeling word identification from visual input within models of eye movements in reading.

Klinton Bicknell1, Roger Levy.   

Abstract

Decades of empirical work have shown that a range of eye movement phenomena in reading are sensitive to the details of the process of word identification. Despite this, major models of eye movement control in reading do not explicitly model word identification from visual input. This paper presents a argument for developing models of eye movements that do include detailed models of word identification. Specifically, we argue that insights into eye movement behavior can be gained by understanding which phenomena naturally arise from an account in which the eyes move for efficient word identification, and that one important use of such models is to test which eye movement phenomena can be understood this way. As an extended case study, we present evidence from an extension of a previous model of eye movement control in reading that does explicitly model word identification from visual input, Mr. Chips (Legge, Klitz, & Tjan, 1997), to test two proposals for the effect of using linguistic context on reading efficiency.

Entities:  

Year:  2012        PMID: 23074362      PMCID: PMC3467114          DOI: 10.1080/13506285.2012.668144

Source DB:  PubMed          Journal:  Vis cogn        ISSN: 1350-6285


  51 in total

1.  Low-level predictive inference in reading: the influence of transitional probabilities on eye movements.

Authors:  Scott A McDonald; Richard C Shillcock
Journal:  Vision Res       Date:  2003-07       Impact factor: 1.886

2.  Reading long words embedded in sentences: informativeness of word halves affects eye movements.

Authors:  J Hyönä; P Niemi; G Underwood
Journal:  J Exp Psychol Hum Percept Perform       Date:  1989-02       Impact factor: 3.332

3.  SWIFT: a dynamical model of saccade generation during reading.

Authors:  Ralf Engbert; Antje Nuthmann; Eike M Richter; Reinhold Kliegl
Journal:  Psychol Rev       Date:  2005-10       Impact factor: 8.934

4.  Putting it all together: a unified account of word recognition and reaction-time distributions.

Authors:  Dennis Norris
Journal:  Psychol Rev       Date:  2009-01       Impact factor: 8.934

5.  Effects of contextual constraint on eye movements in reading: A further examination.

Authors:  K Rayner; A D Well
Journal:  Psychon Bull Rev       Date:  1996-12

6.  Eye movement control in reading: a comparison of two types of models.

Authors:  K Rayner; S C Sereno; G E Raney
Journal:  J Exp Psychol Hum Percept Perform       Date:  1996-10       Impact factor: 3.332

7.  Eye movements in reading versus nonreading tasks: Using E-Z Reader to understand the role of word/stimulus familiarity.

Authors:  Erik D Reichle; Keith Rayner; Alexander Pollatsek
Journal:  Vis cogn       Date:  2012-05-23

8.  Integrating information across eye movements.

Authors:  K Rayner; G W McConkie; D Zola
Journal:  Cogn Psychol       Date:  1980-04       Impact factor: 3.468

9.  Using E-Z Reader to model the effects of higher level language processing on eye movements during reading.

Authors:  Erik D Reichle; Tessa Warren; Kerry McConnell
Journal:  Psychon Bull Rev       Date:  2009-02

10.  The zoom lens of attention: Simulating shuffled versus normal text reading using the SWIFT model.

Authors:  Daniel J Schad; Ralf Engbert
Journal:  Vis cogn       Date:  2012-05-23
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  2 in total

1.  Ongoing Cognitive Processing Influences Precise Eye-Movement Targets in Reading.

Authors:  Klinton Bicknell; Roger Levy; Keith Rayner
Journal:  Psychol Sci       Date:  2020-02-27

2.  What do we mean by prediction in language comprehension?

Authors:  Gina R Kuperberg; T Florian Jaeger
Journal:  Lang Cogn Neurosci       Date:  2015-11-13       Impact factor: 2.331

  2 in total

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