↓ Skip to main content

Reading Aloud: Discrete Stage(s) Redux

Overview of attention for article published in Frontiers in Psychology, February 2017
Altmetric Badge

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
13 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Reading Aloud: Discrete Stage(s) Redux
Published in
Frontiers in Psychology, February 2017
DOI 10.3389/fpsyg.2017.00218
Pubmed ID
Authors

Serje Robidoux, Derek Besner

Abstract

Interactive activation accounts of processing have had a broad and deep influence on cognitive psychology, particularly so in the context of computational accounts of reading aloud at the single word level. Here we address the issue of whether such a framework can simulate the joint effects of stimulus quality and word frequency (which have been shown to produce both additive and interactive effects depending on the context). We extend previous work on this question by considering an alternative implementation of a stimulus quality manipulation, and the role of interactive activation. Simulations with a version of the Dual Route Cascaded model (a model with interactive activation dynamics along the lexical route) demonstrate that the model is unable to simulate the entire pattern seen in human performance. We discuss how a hybrid interactive activation model that includes some context dependent staged processing could accommodate these data.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 23%
Student > Ph. D. Student 3 23%
Professor 2 15%
Student > Master 1 8%
Researcher 1 8%
Other 0 0%
Unknown 3 23%
Readers by discipline Count As %
Psychology 8 62%
Social Sciences 1 8%
Neuroscience 1 8%
Unknown 3 23%