David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Ezio Di Nucci
Jack Alan Reynolds
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Behavioral and Brain Sciences 26 (4):445-476 (2003)
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. Key Words: attention; eye-movement control; E-Z Reader; fixations; lexical access; models; reading; regressions; saccades.
|Keywords||attention eye-movement control E-Z Reader fixations lexical access models reading regressions saccades|
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Jochen Laubrock & Reinhold Kliegl (2015). The Eye-Voice Span During Reading Aloud. Frontiers in Psychology 6.
Marie-Line Bosse, Marie Josèphe Tainturier & Sylviane Valdois (2007). Developmental Dyslexia: The Visual Attention Span Deficit Hypothesis. Cognition 104 (2):198-230.
Erik D. Reichle, Simon P. Liversedge, Alexander Pollatsek & Keith Rayner (2009). Encoding Multiple Words Simultaneously in Reading is Implausible. Trends in Cognitive Sciences 13 (3):115-119.
Adrian Staub (2010). Eye Movements and Processing Difficulty in Object Relative Clauses. Cognition 116 (1):71-86.
Richard L. Lewis, Andrew Howes & Satinder Singh (2014). Computational Rationality: Linking Mechanism and Behavior Through Bounded Utility Maximization. Topics in Cognitive Science 6 (2):279-311.
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