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

Klinton Bicknell; Roger Levy

doi:10.1080/13506285.2012.668144

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

Klinton Bicknell^*, Roger Levy

^*Corresponding author for this work

Linguistics

Research output: Contribution to journal › Article › peer-review

6 Scopus citations

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 an argument for developing models of eye movements that do include detailed models of word identification. Specifically, we argue that insights into eye movement behaviour 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.

Original language	English (US)
Pages (from-to)	422-456
Number of pages	35
Journal	Visual Cognition
Volume	20
Issue number	4-5
DOIs	https://doi.org/10.1080/13506285.2012.668144
State	Published - Apr 2012

Funding

Please address all correspondence to Klinton Bicknell, Department of Psychology, University of California San Diego, 9500 Gilman Drive #109, La Jolla, CA 92093-0109, USA. E-mail: [email protected] We are grateful to Gordon Legge for sharing the corpus used in the original Mr. Chips experiments. Portions of this work were presented at the 32nd annual conference of the Cognitive Science Society and the 84th annual meeting of the Linguistic Society of America. The research was supported by NIH training grant T32-DC000041 from the Center for Research in Language at UC San Diego to KB and by a research grant from the UC San Diego Academic Senate, NSF grant 0953870, and NIH grant R01-HD065829, all to RL.

Keywords

Computational modeling
Eye movements in reading
Visual word identification

ASJC Scopus subject areas

Experimental and Cognitive Psychology
Arts and Humanities (miscellaneous)
Cognitive Neuroscience

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10.1080/13506285.2012.668144

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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 an argument for developing models of eye movements that do include detailed models of word identification. Specifically, we argue that insights into eye movement behaviour 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.",

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

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