探索人工智能艺术作品在审美加工研究中的应用

Vanessa Utz, S. DiPaola
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引用次数: 2

摘要

在本文中,我们概述了需要增加控制的刺激是在经验美学领域内使用。由于艺术品是高度复杂的刺激,而传统的人造艺术品在许多不同的维度上(如调色板、主题、风格)各不相同,因此很难将单个变量对观众审美过程的影响隔离开来。因此,我们建议探索使用计算机生成的艺术品作为刺激,因为实验者对生成的输出具有高度的控制。我们通过概述我们自己的基于认知的多模块AI系统来描述计算创造力系统是如何工作的,然后讨论这些系统的好处以及该领域的一些初步工作。我们通过解决降低生态效度的局限性来结束本文。
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Exploring the Application of AI-generated Artworks for the Study of Aesthetic Processing
In this paper we outline the need for increased control over the stimuli that are used within the field of empirical aesthetics. Since artworks are highly complex stimuli and traditional man-made artworks vary across many different dimensions (such as color palette, subject matter, style) it is difficult to isolate the effect a single variable has on the aesthetic processing that occurs in a viewer. We therefore propose to explore the use of computer-generated artworks as stimuli instead due to the high degree of control that experimenters have over the generated output. We describe how computational creativity systems work by outlining our own cognitive based multi-module AI system, and then discuss the benefits of these systems as well as some preliminary work in this space. We conclude the paper by addressing the limitation of reduced ecological validity.
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