日本語
 
Help Privacy Policy ポリシー/免責事項
  詳細検索ブラウズ

アイテム詳細

  Self-relevance predicts the aesthetic appeal of real and synthetic artworks generated via neural style transfer

Vessel, E. A., Pasqualette, L., Uran, C., Koldehoff, S., Bignardi, G., & Vinck, M. (2023). Self-relevance predicts the aesthetic appeal of real and synthetic artworks generated via neural style transfer. Psychological Science, 34(9), 1007-1023. doi:10.1177/09567976231188107.

Item is

基本情報

表示: 非表示:
アイテムのパーマリンク: https://hdl.handle.net/21.11116/0000-000D-A320-6 版のパーマリンク: https://hdl.handle.net/21.11116/0000-000D-E82F-A
資料種別: 学術論文

ファイル

表示: ファイル
非表示: ファイル
:
vessel-et-al-2023suppl-self-relevance-predicts-the-aesthetic-appeal-of-real-and-synthetic-artworks-generated-via-neural.pdf (付録資料), 4MB
ファイルのパーマリンク:
https://hdl.handle.net/21.11116/0000-000D-A323-3
ファイル名:
supplementary materials
説明:
-
OA-Status:
Hybrid
閲覧制限:
公開
MIMEタイプ / チェックサム:
application/pdf / [MD5]
技術的なメタデータ:
著作権日付:
-
著作権情報:
-
CCライセンス:
-
:
Vessel_etal_2023_self relevance predicts the....pdf (出版社版), 2MB
ファイルのパーマリンク:
https://hdl.handle.net/21.11116/0000-000D-E830-7
ファイル名:
Vessel_etal_2023_self relevance predicts the....pdf
説明:
-
OA-Status:
Hybrid
閲覧制限:
公開
MIMEタイプ / チェックサム:
application/pdf / [MD5]
技術的なメタデータ:
著作権日付:
2023
著作権情報:
© The Author(s) 2023. Creative Commons License (CC BY 4.0) This article is distributed under the terms of the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages

関連URL

表示:

作成者

表示:
非表示:
 作成者:
Vessel, Edward A.1, 著者
Pasqualette, Laura2, 著者
Uran, Cem3, 4, 著者
Koldehoff, Sarah1, 著者
Bignardi, Giacomo5, 6, 著者           
Vinck, Martin3, 4, 著者
所属:
1Max Planck Institute for Empirical Aesthetics, Frankfurt am Main, Germany, ou_persistent22              
2Friedrich-Alexander University Erlangen-Nürnberg, Erlangen-Nürnberg, Germany, ou_persistent22              
3Ernst Strüngmann Institute, Frankfurt am Main, Germany, ou_persistent22              
4Donders Centre for Neuroscience, Nijmegen, The Netherlands, ou_persistent22              
5Language and Genetics Department, MPI for Psycholinguistics, Max Planck Society, ou_792549              
6Max Planck School of Cognition, ou_persistent22              

内容説明

表示:
非表示:
キーワード: -
 要旨: What determines the aesthetic appeal of artworks? Recent work suggests that aesthetic appeal can, to some extent, be predicted from a visual artwork’s image features. Yet a large fraction of variance in aesthetic ratings remains unexplained and may relate to individual preferences. We hypothesized that an artwork’s aesthetic appeal depends strongly on self-relevance. In a first study (N = 33 adults, online replication N = 208), rated aesthetic appeal for real artworks was positively predicted by rated self-relevance. In a second experiment (N = 45 online), we created synthetic, self-relevant artworks using deep neural networks that transferred the style of existing artworks to photographs. Style transfer was applied to self-relevant photographs selected to reflect participant-specific attributes such as autobiographical memories. Self-relevant, synthetic artworks were rated as more aesthetically appealing than matched control images, at a level similar to human-made artworks. Thus, self-relevance is a key determinant of aesthetic appeal, independent of artistic skill and image features.

資料詳細

表示:
非表示:
言語: eng - English
 日付: 2023-08-142023
 出版の状態: 出版
 ページ: -
 出版情報: -
 目次: -
 査読: 査読あり
 識別子(DOI, ISBNなど): DOI: 10.1177/09567976231188107
 学位: -

関連イベント

表示:

訴訟

表示:

Project information

表示:

出版物 1

表示:
非表示:
出版物名: Psychological Science
種別: 学術雑誌
 著者・編者:
所属:
出版社, 出版地: Malden, MA : Blackwell Publishers
ページ: - 巻号: 34 (9) 通巻号: - 開始・終了ページ: 1007 - 1023 識別子(ISBN, ISSN, DOIなど): ISSN: 0956-7976
CoNE: https://pure.mpg.de/cone/journals/resource/974392592005