科研成果详情

题名Individual Visual Working Memory Capacity Affects Aesthetic Appreciation of Chinese Ink Painting
作者
发表日期2023-09-22
会议名称VINCI 2023: The 16th International Symposium on Visual Information Communication and Interaction
会议录名称VINCI '23: Proceedings of the 16th International Symposium on Visual Information Communication and Interaction
会议录编者Roger Malina, Kang Zhang, Wei Zeng, Günter Wallner
ISBN979-8-4007-0751-3
会议日期September 22 - 24, 2023
会议地点Guangzhou China
出版地New York
出版者Association for Computing Machinery
摘要

Aesthetic appreciation of art is not solely determined by intrinsic properties of the artwork, such as visual complexity. Extrinsic factors related to the observer, such as their visual working memory capacity, which enables real-time storage and manipulation of visual information, also play a role in shaping aesthetic appreciation. In this study, we investigated the contributions of both intrinsic and extrinsic factors to the aesthetic appreciation of traditional Chinese ink landscape paintings. Our results showed that an individual's visual working memory capacity predicts the extent to which they enjoy the paintings from their own culture. This work provides new insights into the relationship between the viewer's cognitive ability and intrinsic properties of artwork in aesthetic appreciation in the Chinese context.

关键词Art appreciation Ink paintings Interactionist perspective Visual complexity Visual working memory capacity
DOI10.1145/3615522.3615532
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语种英语English
Scopus入藏号2-s2.0-85178386669
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文献类型会议论文
条目标识符https://repository.uic.edu.cn/handle/39GCC9TT/11569
专题理工科技学院
作者单位
1.Applied Psychology Programme,BNU-HKBU United International College,Zhuhai,China
2.Guangdong Provincial Key Laboratory Irads,Applied Psychology Programme,BNU-HKBU United International College,Zhuhai,China
第一作者单位北师香港浸会大学
推荐引用方式
GB/T 7714
Long, Dingning,Chen, Rongrong. Individual Visual Working Memory Capacity Affects Aesthetic Appreciation of Chinese Ink Painting[C]//Roger Malina, Kang Zhang, Wei Zeng, Günter Wallner. New York: Association for Computing Machinery, 2023.
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