Extrapolating continuous color emotions through deep learning
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Date
2020
Authors
Schaposnik, Laura P.
Konstantinou, Nikos
Volkan, Eliz
Papadatou-Pastou, Marietta
Manav, Banu
Jonauskaite, Domicele
Mohr, Christine
Journal Title
Journal ISSN
Volume Title
Publisher
Amer Physical Soc
Abstract
By means of an experimental dataset, we use deep learning to implement an RGB (red, green, and blue) extrapolation of emotions associated to color, and do a mathematical study of the results obtained through this neural network. In particular, we see that males (type-m individuals) typically associate a given emotion with darker colors, while females (typef individuals) associate it with brighter colors. A similar trend was observed with older people and associations to lighter colors. Moreover, through our classification matrix, we identify which colors have weak associations to emotions and which colors are typically confused with other colors.
Description
Keywords
Associations, Preferences, Age
Turkish CoHE Thesis Center URL
Citation
7
WoS Q
N/A
Scopus Q
Q1
Source
Volume
2
Issue
3