Extrapolating Continuous Color Emotions Through Deep Learning
dc.contributor.author | Ram, Vishaal | |
dc.contributor.author | Schaposnik, Laura P. | |
dc.contributor.author | Konstantinou, Nikos | |
dc.contributor.author | Volkan, Eliz | |
dc.contributor.author | Papadatou-Pastou, Marietta | |
dc.contributor.author | Manav, Banu | |
dc.contributor.author | Jonauskaite, Domicele | |
dc.contributor.author | Mohr, Christine | |
dc.date.accessioned | 2021-01-28T13:03:56Z | |
dc.date.available | 2021-01-28T13:03:56Z | |
dc.date.issued | 2020 | |
dc.department | Fakülteler, Sanat ve Tasarım Fakültesi, İç Mimarlık ve Çevre Tasarımı Bölümü | en_US |
dc.description.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. | en_US |
dc.description.sponsorship | National Science Foundation (NSF) Swiss National Science Foundation (SNSF) | en_US |
dc.identifier.citation | 7 | |
dc.identifier.doi | 10.1103/PhysRevResearch.2.033350 | en_US |
dc.identifier.issn | 2643-1564 | en_US |
dc.identifier.issn | 2643-1564 | |
dc.identifier.issue | 3 | en_US |
dc.identifier.scopus | 2-s2.0-85113520218 | en_US |
dc.identifier.scopusquality | Q1 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12469/3789 | |
dc.identifier.uri | https://doi.org/10.1103/PhysRevResearch.2.033350 | |
dc.identifier.volume | 2 | en_US |
dc.identifier.wos | WOS:000604171000005 | en_US |
dc.institutionauthor | Manav, Banu | en_US |
dc.institutionauthor | Manav, Banu | |
dc.language.iso | en | en_US |
dc.publisher | Amer Physical Soc | en_US |
dc.relation.journal | Physical Review Research | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/openAccess | en_US |
dc.subject | Associations | en_US |
dc.subject | Preferences | en_US |
dc.subject | Age | en_US |
dc.title | Extrapolating Continuous Color Emotions Through Deep Learning | en_US |
dc.type | Article | en_US |
dspace.entity.type | Publication | |
relation.isAuthorOfPublication | d11f6424-2d69-45f8-9d15-5faa04038be1 | |
relation.isAuthorOfPublication.latestForDiscovery | d11f6424-2d69-45f8-9d15-5faa04038be1 |
Files
Original bundle
1 - 1 of 1
Loading...
- Name:
- Extrapolating continuous color emotions through deep learning.pdf
- Size:
- 2.13 MB
- Format:
- Adobe Portable Document Format
- Description: