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A Three-Feature Model to Predict Colour Change Blindness
Change blindness is a striking shortcoming of our visual system which is exploited in the popular ‘Spot the difference’ game, as it makes us unable to notice large visual changes happening right before our eyes. Change blindness illustrates the fact that we see much less than we think we do. In this...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6969898/ https://www.ncbi.nlm.nih.gov/pubmed/31735862 http://dx.doi.org/10.3390/vision3040061 |
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author | Le Moan, Steven Pedersen, Marius |
author_facet | Le Moan, Steven Pedersen, Marius |
author_sort | Le Moan, Steven |
collection | PubMed |
description | Change blindness is a striking shortcoming of our visual system which is exploited in the popular ‘Spot the difference’ game, as it makes us unable to notice large visual changes happening right before our eyes. Change blindness illustrates the fact that we see much less than we think we do. In this paper, we introduce a fully automated model to predict colour change blindness in cartoon images based on image complexity, change magnitude and observer experience. Using linear regression with only three parameters, the predictions of the proposed model correlate significantly with measured detection times. We also demonstrate the efficacy of the model to classify stimuli in terms of difficulty. |
format | Online Article Text |
id | pubmed-6969898 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-69698982020-02-04 A Three-Feature Model to Predict Colour Change Blindness Le Moan, Steven Pedersen, Marius Vision (Basel) Article Change blindness is a striking shortcoming of our visual system which is exploited in the popular ‘Spot the difference’ game, as it makes us unable to notice large visual changes happening right before our eyes. Change blindness illustrates the fact that we see much less than we think we do. In this paper, we introduce a fully automated model to predict colour change blindness in cartoon images based on image complexity, change magnitude and observer experience. Using linear regression with only three parameters, the predictions of the proposed model correlate significantly with measured detection times. We also demonstrate the efficacy of the model to classify stimuli in terms of difficulty. MDPI 2019-11-10 /pmc/articles/PMC6969898/ /pubmed/31735862 http://dx.doi.org/10.3390/vision3040061 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Le Moan, Steven Pedersen, Marius A Three-Feature Model to Predict Colour Change Blindness |
title | A Three-Feature Model to Predict Colour Change Blindness |
title_full | A Three-Feature Model to Predict Colour Change Blindness |
title_fullStr | A Three-Feature Model to Predict Colour Change Blindness |
title_full_unstemmed | A Three-Feature Model to Predict Colour Change Blindness |
title_short | A Three-Feature Model to Predict Colour Change Blindness |
title_sort | three-feature model to predict colour change blindness |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6969898/ https://www.ncbi.nlm.nih.gov/pubmed/31735862 http://dx.doi.org/10.3390/vision3040061 |
work_keys_str_mv | AT lemoansteven athreefeaturemodeltopredictcolourchangeblindness AT pedersenmarius athreefeaturemodeltopredictcolourchangeblindness AT lemoansteven threefeaturemodeltopredictcolourchangeblindness AT pedersenmarius threefeaturemodeltopredictcolourchangeblindness |