TY - JOUR
T1 - The utility of modelling word identification from visual input within models of eye movements in reading
AU - Bicknell, Klinton
AU - Levy, Roger
N1 - Funding Information:
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: kbicknell@ucsd.edu 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.
PY - 2012/4
Y1 - 2012/4
N2 - 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.
AB - 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.
KW - Computational modeling
KW - Eye movements in reading
KW - Visual word identification
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U2 - 10.1080/13506285.2012.668144
DO - 10.1080/13506285.2012.668144
M3 - Article
C2 - 23074362
AN - SCOPUS:84862182797
SN - 1350-6285
VL - 20
SP - 422
EP - 456
JO - Visual Cognition
JF - Visual Cognition
IS - 4-5
ER -