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This paper presents simulations of eye movements during reading, lexical decision, and naming using Über-Reader, a new computational model that aims to provide a complete account of the perceptual, cognitive, and motor processes involved in reading. The present simulations focused on Über-Reader’s word-identification module—an implemen-tation of the Multiple-Trace Memory model (Ans et al., 1998) based on the theoretical assumptions of the MI-NERVA 2 model of episodic memory (Hintzman, 1984)—with a vocabulary comprising the full corpus of the Eng-lish Lexicon Project (Balota et al., 2007). The model’s lex-icon was probed with words and one-letter-different non-words from the Schilling et al. (1998) corpus, and outputs of the model were scored to evaluate performance against the empirical data. The outcomes of these simulations will inform further development of Über-Reader by providing the foundation for our ultimate goal of simulating reading, in its entirety.
|Title of host publication||CogSci 2020: Proceedings of the 42nd Annual Conference of the Cognitive Science Society|
|Subtitle of host publication||developing a mind: learning in humans, animals, and machines|
|Place of Publication||Austin, Texas|
|Publisher||Cognitive Science Society|
|Number of pages||7|
|Publication status||Published - 2020|
|Event||Annual Meeting of the Cognitive Science Society (42nd : 2020): Developing a mind: learning in humans, animals, and machines - Virtual event|
Duration: 29 Jul 2020 → 1 Aug 2020
|Conference||Annual Meeting of the Cognitive Science Society (42nd : 2020)|
|Abbreviated title||CogSci 2020|
|Period||29/07/20 → 1/08/20|
Bibliographical noteCopyright the Author(s) 2020. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.
- computer modeling
- eye movements
- lexical-decision task
- naming task
- visual word recognition
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