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Output details

11 - Computer Science and Informatics

Queen Mary University of London

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Output 27 of 83 in the submission

Article title

Generating customised experimental stimuli for visual search using Genetic Algorithms shows evidence for a continuum of search efficiency.

Type

D - Journal article

DOI

10.1016/j.visres.2008.11.006

Title of journal

Vision Research

Article number

Volume number

Issue number

First page of article

374

ISSN of journal

1878-5646

Year of publication

2009

URL

http://www.sciencedirect.com/science/article/pii/S0042698908005695

Number of additional authors

Additional information

<23>We report the first application of artificial intelligence in creating custom experimental visual stimuli for use by the vision research community. The technique creates texton elements for spatial popout experiments with prescribed differences in visual saliency, allowing a prediction of human observer task performance and showing there exists a continuum of such texton pairs so arguing against the widely postulated separate parallel and serial search. This work was reported on news websites worldwide e.g. http://insciences.org/article.php?article_id=2392 and formed a research theme within the successful £5.7Million interdisciplinary inter site CHI+MED programme grant EP/G059063/1 2009.

Interdisciplinary

Cross-referral requested

Research group

None

Citation count

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract