School of Computing

Attentional capture by meaning: A multi-level modelling study

Li Su, Howard Bowman, and Philip Barnard

In Proceedings of the 29th Annual meeting of the cognitive science society (CogSci 2007), pages 182-196. To appear, August 2007.

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.

Download publication 155 kbytes (PDF)

Bibtex Record

@inproceedings{2594,
author = {Li Su and Howard Bowman and Philip Barnard},
title = {Attentional capture by meaning: A multi-level modelling study},
month = {August},
year = {2007},
pages = {182-196},
keywords = {determinacy analysis, Craig interpolants},
note = {},
doi = {},
url = {http://www.cs.kent.ac.uk/pubs/2007/2594},
    publication_type = {inproceedings},
    submission_id = {1857_1186741880},
    publisher = {To appear},
    booktitle = {Proceedings of the 29th Annual meeting of the cognitive science society (CogSci 2007)},
}

School of Computing, University of Kent, Canterbury, Kent, CT2 7NF

Enquiries: +44 (0)1227 824180 or contact us.

Last Updated: 21/03/2014