Generation of Aesthetic Emotions guided by Perceptual Features



We present an experimental prototype that aims the study of aesthetics-related features from visual and audi- tory domains to express a set of 13 emotions. In the vis- ual domain features are unfolded with a chance of occur- ring according to their perceptual relevance, whereas in the auditory domain there is a previous categorization of emotions. In the end this will result in a series of digital abstract faces expressing certain emotional states.


International Conference on Computational Creativity 2018

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