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Attentional capture by meaning: A multi-level modelling study

Su, Li and Bowman, Howard and Barnard, Philip (2007) Attentional capture by meaning: A multi-level modelling study. In: Cogsci 2007: Proceedings of the 29th Annual Conference of the Cognitive Science Society. Lawrence Erlbaum Associates. ISBN 978-0-9768318-3-9. (KAR id:14549)

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Abstract

We present a computational study of attentional capture by meaning, based on Barnard et al's key-distractor attentional blink task. We highlight a sequence of models, from an abstract black-box to a structurally detailed white-box model. Each of these models reproduces the major findings from the key-distractor blink task. We argue that such multi-level modelling gives greater confidence in the theoretical position encapsulated by these models.

Item Type: Book section
Uncontrolled keywords: Attentional blink; LSA; semantic modulation; multi-level modeling
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming,
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
Depositing User: Mark Wheadon
Date Deposited: 24 Nov 2008 18:04 UTC
Last Modified: 16 Nov 2021 09:52 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/14549 (The current URI for this page, for reference purposes)
Bowman, Howard: https://orcid.org/0000-0003-4736-1869
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