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Output details

11 - Computer Science and Informatics

Queen Mary University of London

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Output 3 of 83 in the submission

Article title

A semi-automated approach to balancing of bottom-up salience for predicting change detection performance

Type

D - Journal article

DOI

10.1167/10.6.3

Title of journal

Journal of Vision

Article number

Volume number

Issue number

First page of article

ISSN of journal

1534-7362

Year of publication

2010

URL

http://www.journalofvision.org/content/10/6/3.short

Number of additional authors

Additional information

<23>In this paper we present the first ever artificial intelligence driven technique for generating experimental change blindness test image pair; previously all experimental sets had been created manually. This work was featured by the BBC (http://www.bbc.co.uk/news/10284925) and numerous media outlets worldwide; the work was presented at the Secret Cinema science festival 2010 (600 people took the test) and Royal Society Summer Exhibition 2009 (http://royalsociety.org/summer-science/2009/magic-of-computer-science/) 5000 visitors. It is now the basis for a popular smartphone app with over 1500 downloads. We are working with marketing Agency Incahoots in applying the technique to aid package design debbie@debbiesimmons.com.

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