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Cited by 1,086

The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.

The E-Z Reader model of eye-movement control in reading: Comparisons to other models

Reichle, Erik D., Rayner, Keith, Pollatsek, Alexander·2003·Behavioral and Brain Sciences

Abstract

The E-Z Reader model (Reichle et al. 1998; 1999) provides a theoretical framework for understanding how word identification, visual processing, attention, and oculomotor control jointly determine when and where the eyes move during reading. In this article, we first review what is known about eye movements during reading. Then we provide an updated version of the model (E-Z Reader 7) and describe how it accounts for basic findings about eye movement control in reading. We then review several alternative models of eye movement control in reading, discussing both their core assumptions and their theoretical scope. On the basis of this discussion, we conclude that E-Z Reader provides the most comprehensive account of eye movement control during reading. Finally, we provide a brief overview of what is known about the neural systems that support the various components of reading, and suggest how the cognitive constructs of our model might map onto this neural architecture.

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Metadata

Authors
Reichle, E. D., Rayner, K., & Pollatsek, A.
Venue
Behavioral and Brain Sciences
Published
2003-08
Volume
26
Issue
4
Pages
445-476
ISSN
  • 0140-525X (ISSN-L)
  • 1469-1825
OpenAlex
W2154796476
Cited by
1,086
References
30
FWCI
62.48
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The E-Z Reader model of eye-movement control in reading: Comparisons to other models. https://app.cochat.ai/papers/10.1017/s0140525x03000104
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Reichle, E. D., Rayner, K., & Pollatsek, A. (2003). The E-Z Reader model of eye-movement control in reading: Comparisons to other models. Behavioral and Brain Sciences. https://doi.org/10.1017/s0140525x03000104

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.