A Three-Feature Model to Predict Colour Change Blindness
by
Steven Le Moan 1,*
and Marius Pedersen 2
Steven Le Moan 1,* and Marius Pedersen 2
1
Department of Mechanical and Electrical Engineering, Massey University, 4410 Palmerston North, New Zealand
2
Department of Computer Science, Norwegian University of Science and Technology, 2815 Gjøvik, Norway
*
Author to whom correspondence should be addressed.
Vision 2019, 3(4), 61; https://doi.org/10.3390/vision3040061
Received: 30 June 2019 / Revised: 22 October 2019 / Accepted: 6 November 2019 / Published: 10 November 2019
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.
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MDPI and ACS Style
Le Moan, S.; Pedersen, M. A Three-Feature Model to Predict Colour Change Blindness. Vision 2019, 3, 61.
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Externally hosted supplementary file 1
Link: http://sfat.massey.ac.nz/personal/s.lemoan/CB1.zip
Description: Stimuli + Matlab code
