Elicited emotion: effects of inoculation of an art style on emotionally strong images
Amparo Caceres Gutierrez, Julián Tejada, Enrique García Fernández-Abascal

TL;DR
This study explores how applying Van Gogh's art style via CNN filters to emotionally strong images can reduce their emotional impact.
Contribution
The novelty lies in using CNN-based artistic filters to inoculate emotionally strong images and alter their emotional response.
Findings
CNN-inoculated images tended to provoke calmer emotional reactions compared to original images.
The most significant changes were observed in the valence dimension, shifting toward more pleasant effects.
Results suggest a potential methodology for replacing strong emotional images in news with less intense versions.
Abstract
The objective of this research is to study how the application of the Convolutional Neural Network (CNN) artistic filter can be an alternative to mitigate the emotional response to photographs with strong emotional content published in Internet news. Van Gogh’s artistic style was extracted through a CNN and inoculated with 64 IAPS images chosen to cover the entire emotional space. 140 university students of both sexes (70 men and 70 women) with an average age of 22 years, evaluated 128 stimuli, 64 original and 64 digitally inoculated, giving the appearance that they were painted with the artistic style of Van Gogh. For the evaluation of the stimuli, four groups were established under the conditions: 1 high arousal—positive valence, 2 negative valence—low arousal, 3 high arousal—negative valence and 4, low arousal, positive valence. The original images (OI) tended to produce less…
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Taxonomy
TopicsAesthetic Perception and Analysis · Media Influence and Health
