The Role of AI Attribution Knowledge in the Evaluation of Artwork

IF 1.5 4区 心理学 0 HUMANITIES, MULTIDISCIPLINARY
Harsha Gangadharbatla
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引用次数: 28

Abstract

Artwork is increasingly being created by machines through algorithms with little or no input from humans. Yet, very little is known about people’s attitudes and evaluations of artwork generated by machines. The current study investigates (a) whether individuals are able to accurately differentiate human-made artwork from AI-generated artwork and (b) the role of attribution knowledge (i.e., information about who created the content) in their evaluation and reception of artwork. Data was collected using an Amazon Turk sample from two survey experiments designed on Qualtrics. Findings suggest that individuals are unable to accurately identify AI-generated artwork and they are likely to associate representational art to humans and abstract art to machines. There is also an interaction effect between attribution knowledge and the type of artwork (representational vs. abstract) on purchase intentions and evaluations of artworks.
人工智能归因知识在艺术品评价中的作用
艺术品越来越多地由机器通过算法创作,很少或根本没有人类的输入。然而,人们对机器创作的艺术品的态度和评价却知之甚少。目前的研究调查了(a)个人是否能够准确区分人造艺术品和人工智能生成的艺术品,以及(b)归属知识(即关于谁创造了内容的信息)在他们对艺术品的评估和接受中的作用。数据收集使用亚马逊土耳其样本从两个调查实验设计Qualtrics。研究结果表明,个人无法准确识别人工智能生成的艺术品,他们可能会将具象艺术与人类联系起来,将抽象艺术与机器联系起来。归因知识与艺术品类型(具象与抽象)对艺术品的购买意愿和评价也存在交互作用。
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来源期刊
CiteScore
2.60
自引率
0.00%
发文量
14
期刊介绍: Empirical Studies of the Arts (ART) aims to be an interdisciplinary forum for theoretical and empirical studies of aesthetics, creativity, and all of the arts. It spans anthropological, psychological, neuroscientific, semiotic, and sociological studies of the creation, perception, and appreciation of literary, musical, visual and other art forms. Whether you are an active researcher or an interested bystander, Empirical Studies of the Arts keeps you up to date on the latest trends in scientific studies of the arts.
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