e-Nature Positive Emotions Photography Database (e-NatPOEM): affectively rated nature images promoting positive emotions
Abstract Affectively rated image databases have their main application in studies that require inducing distinct stimuli on subjects. Widespread databases are designed to cover a broad range of stimuli, from negative to positive (valence), and relaxed to excited (arousal). The availability of narrow...
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2021
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oai:doaj.org-article:427edcde43a9418ea694e6fbab869cbc2021-12-02T18:25:04Ze-Nature Positive Emotions Photography Database (e-NatPOEM): affectively rated nature images promoting positive emotions10.1038/s41598-021-91013-92045-2322https://doaj.org/article/427edcde43a9418ea694e6fbab869cbc2021-06-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-91013-9https://doaj.org/toc/2045-2322Abstract Affectively rated image databases have their main application in studies that require inducing distinct stimuli on subjects. Widespread databases are designed to cover a broad range of stimuli, from negative to positive (valence), and relaxed to excited (arousal). The availability of narrow domain databases, designed to cover and thoroughly analyze a few categories of images that induce a particular stimulus, is limited. We present a narrow domain affective database with positive images, named e-Nature Positive Emotions Photography Database (e-NatPOEM), consisting of 433 high-quality images produced by professional and amateur photographers. A total of 739 participants evaluated them using a web-based tool to input valence-arousal values and a single word describing the evoked feeling. Ratings per image ranged from 36 to 108, median: 57; first/third quartiles: 56/59. 84% of the images presented valence > middle of the scale and arousal < middle of the scale. Words describing the images were classified into semantical groups, being predominant: Peace/tranquility (39% of all words), Beauty (23%), and Positive states (15%). e-NatPOEM is free and publicly available, it is a valid resource for affective research, and presents the potential for clinical use to assist positive emotions promotion.Daniela Dal FabbroGiulia CatissiGustavo BorbaLuciano LimaErika Hingst-ZaherJoão RosaElivane VictorLetícia BernardesTinely SouzaEliseth LeãoNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-15 (2021) |
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Medicine R Science Q Daniela Dal Fabbro Giulia Catissi Gustavo Borba Luciano Lima Erika Hingst-Zaher João Rosa Elivane Victor Letícia Bernardes Tinely Souza Eliseth Leão e-Nature Positive Emotions Photography Database (e-NatPOEM): affectively rated nature images promoting positive emotions |
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Abstract Affectively rated image databases have their main application in studies that require inducing distinct stimuli on subjects. Widespread databases are designed to cover a broad range of stimuli, from negative to positive (valence), and relaxed to excited (arousal). The availability of narrow domain databases, designed to cover and thoroughly analyze a few categories of images that induce a particular stimulus, is limited. We present a narrow domain affective database with positive images, named e-Nature Positive Emotions Photography Database (e-NatPOEM), consisting of 433 high-quality images produced by professional and amateur photographers. A total of 739 participants evaluated them using a web-based tool to input valence-arousal values and a single word describing the evoked feeling. Ratings per image ranged from 36 to 108, median: 57; first/third quartiles: 56/59. 84% of the images presented valence > middle of the scale and arousal < middle of the scale. Words describing the images were classified into semantical groups, being predominant: Peace/tranquility (39% of all words), Beauty (23%), and Positive states (15%). e-NatPOEM is free and publicly available, it is a valid resource for affective research, and presents the potential for clinical use to assist positive emotions promotion. |
format |
article |
author |
Daniela Dal Fabbro Giulia Catissi Gustavo Borba Luciano Lima Erika Hingst-Zaher João Rosa Elivane Victor Letícia Bernardes Tinely Souza Eliseth Leão |
author_facet |
Daniela Dal Fabbro Giulia Catissi Gustavo Borba Luciano Lima Erika Hingst-Zaher João Rosa Elivane Victor Letícia Bernardes Tinely Souza Eliseth Leão |
author_sort |
Daniela Dal Fabbro |
title |
e-Nature Positive Emotions Photography Database (e-NatPOEM): affectively rated nature images promoting positive emotions |
title_short |
e-Nature Positive Emotions Photography Database (e-NatPOEM): affectively rated nature images promoting positive emotions |
title_full |
e-Nature Positive Emotions Photography Database (e-NatPOEM): affectively rated nature images promoting positive emotions |
title_fullStr |
e-Nature Positive Emotions Photography Database (e-NatPOEM): affectively rated nature images promoting positive emotions |
title_full_unstemmed |
e-Nature Positive Emotions Photography Database (e-NatPOEM): affectively rated nature images promoting positive emotions |
title_sort |
e-nature positive emotions photography database (e-natpoem): affectively rated nature images promoting positive emotions |
publisher |
Nature Portfolio |
publishDate |
2021 |
url |
https://doaj.org/article/427edcde43a9418ea694e6fbab869cbc |
work_keys_str_mv |
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