Color-Emotion Associations in Art: Fuzzy Approach
Art objects can evoke certain emotions. Color is a fundamental element of visual art and plays a significant role in how art is perceived. This paper introduces a novel approach to classifying emotions in art using Fuzzy Sets. We employ a fuzzy approach because it aligns well with human judgments&am...
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| Format: | Article |
| Language: | English |
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IEEE
2024-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10464290/ |
| _version_ | 1797243314989170688 |
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| author | Muragul Muratbekova Pakizar Shamoi |
| author_facet | Muragul Muratbekova Pakizar Shamoi |
| author_sort | Muragul Muratbekova |
| collection | DOAJ |
| description | Art objects can evoke certain emotions. Color is a fundamental element of visual art and plays a significant role in how art is perceived. This paper introduces a novel approach to classifying emotions in art using Fuzzy Sets. We employ a fuzzy approach because it aligns well with human judgments’ imprecise and subjective nature. Extensive fuzzy colors (n=120) and a broad emotional spectrum (n=10) allow for a more human-consistent and context-aware exploration of emotions inherent in paintings. First, we introduce the fuzzy color representation model. Then, at the fuzzification stage, we process the Wiki Art Dataset of paintings tagged with emotions, extracting fuzzy dominant colors linked to specific emotions. This results in fuzzy color distributions for ten emotions. Finally, we convert them back to a crisp domain, obtaining a knowledge base of color-emotion associations in primary colors. Our findings reveal strong associations between specific emotions and colors; for instance, gratitude strongly correlates with green, brown, and orange. Other noteworthy associations include brown and anger, orange with shame, yellow with happiness, and gray with fear. Using these associations and Jaccard similarity, we can find the emotions in the arbitrary untagged image. We conducted a 2AFC experiment involving human subjects to evaluate the proposed method. The average hit rate of 0.77 indicates a significant correlation between the method’s predictions and human perception. The proposed method is simple to adapt to art painting retrieval systems. The study contributes to the theoretical understanding of color-emotion associations in art, offering valuable insights for various practical applications besides art, like marketing, design, and psychology. |
| first_indexed | 2024-04-24T18:53:09Z |
| format | Article |
| id | doaj.art-a0f13db0bccf4ef78395fe301b2d0038 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-04-24T18:53:09Z |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-a0f13db0bccf4ef78395fe301b2d00382024-03-26T17:48:45ZengIEEEIEEE Access2169-35362024-01-0112379373795610.1109/ACCESS.2024.337536110464290Color-Emotion Associations in Art: Fuzzy ApproachMuragul Muratbekova0https://orcid.org/0009-0000-9162-2945Pakizar Shamoi1https://orcid.org/0000-0001-9682-0203School of Information Technology and Engineering, Kazakh-British Technical University, Almaty, KazakhstanSchool of Information Technology and Engineering, Kazakh-British Technical University, Almaty, KazakhstanArt objects can evoke certain emotions. Color is a fundamental element of visual art and plays a significant role in how art is perceived. This paper introduces a novel approach to classifying emotions in art using Fuzzy Sets. We employ a fuzzy approach because it aligns well with human judgments’ imprecise and subjective nature. Extensive fuzzy colors (n=120) and a broad emotional spectrum (n=10) allow for a more human-consistent and context-aware exploration of emotions inherent in paintings. First, we introduce the fuzzy color representation model. Then, at the fuzzification stage, we process the Wiki Art Dataset of paintings tagged with emotions, extracting fuzzy dominant colors linked to specific emotions. This results in fuzzy color distributions for ten emotions. Finally, we convert them back to a crisp domain, obtaining a knowledge base of color-emotion associations in primary colors. Our findings reveal strong associations between specific emotions and colors; for instance, gratitude strongly correlates with green, brown, and orange. Other noteworthy associations include brown and anger, orange with shame, yellow with happiness, and gray with fear. Using these associations and Jaccard similarity, we can find the emotions in the arbitrary untagged image. We conducted a 2AFC experiment involving human subjects to evaluate the proposed method. The average hit rate of 0.77 indicates a significant correlation between the method’s predictions and human perception. The proposed method is simple to adapt to art painting retrieval systems. The study contributes to the theoretical understanding of color-emotion associations in art, offering valuable insights for various practical applications besides art, like marketing, design, and psychology.https://ieeexplore.ieee.org/document/10464290/Fuzzy setsemotions in artcolor paletteclassificationcolor-emotion modelart image analysis |
| spellingShingle | Muragul Muratbekova Pakizar Shamoi Color-Emotion Associations in Art: Fuzzy Approach IEEE Access Fuzzy sets emotions in art color palette classification color-emotion model art image analysis |
| title | Color-Emotion Associations in Art: Fuzzy Approach |
| title_full | Color-Emotion Associations in Art: Fuzzy Approach |
| title_fullStr | Color-Emotion Associations in Art: Fuzzy Approach |
| title_full_unstemmed | Color-Emotion Associations in Art: Fuzzy Approach |
| title_short | Color-Emotion Associations in Art: Fuzzy Approach |
| title_sort | color emotion associations in art fuzzy approach |
| topic | Fuzzy sets emotions in art color palette classification color-emotion model art image analysis |
| url | https://ieeexplore.ieee.org/document/10464290/ |
| work_keys_str_mv | AT muragulmuratbekova coloremotionassociationsinartfuzzyapproach AT pakizarshamoi coloremotionassociationsinartfuzzyapproach |