Analysis of the use of color and its emotional relationship in visual creations based on experiences during the context of the COVID-19 pandemic
C\'esar Gonz\'alez-Mart\'in, Miguel Carrasco, Germ\'an Oviedo

TL;DR
This study investigates how color usage in COVID-19 related art on Instagram reflects emotional states, employing neural networks and clustering to analyze color-emotion relationships during the pandemic.
Contribution
It introduces a methodology combining emotion classification and color analysis to explore emotional expression in pandemic-related visual art.
Findings
Warm colors dominate the dataset.
Analog color compositions are preferred over complementary.
Positive emotions are associated with specific color attributes.
Abstract
Color is a complex communicative element that helps us understand and evaluate our environment. At the level of artistic creation, this component influences both the formal aspects of the composition and the symbolic weight, directly affecting the construction and transmission of the message that you want to communicate, creating a specific emotional reaction. During the COVID-19 pandemic, people generated countless images transmitting this event's subjective experiences. Using the repository of images created in the Instagram account CAM (The COVID Art Museum), we propose a methodology to understand the use of color and its emotional relationship in this context. The process considers two stages in parallel that are then combined. First, emotions are extracted and classified from the CAM dataset images through a convolutional neural network. Second, we extract the colors and their…
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Taxonomy
TopicsColor perception and design
MethodsClass-activation map
