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Inferring Master Painters' Esthetic Biases from the Statistics of Portraits

机译:从肖像统计中推断大师画家的审美偏见

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The Processing Fluency Theory posits that the ease of sensory information processing in the brain facilitates esthetic pleasure. Accordingly, the theory would predict that master painters should display biases toward visual properties such as symmetry, balance, and moderate complexity. Have these biases been occurring and if so, have painters been optimizing these properties (fluency variables)? Here, we address these questions with statistics of portrait paintings from the Early Renaissance period. To do this, we first developed different computational measures for each of the aforementioned fluency variables. Then, we measured their statistics in 153 portraits from 26 master painters, in 27 photographs of people in three controlled poses, and in 38 quickly snapped photographs of individual persons. A statistical comparison between Early Renaissance portraits and quickly snapped photographs revealed that painters showed a bias toward balance, symmetry, and moderate complexity. However, a comparison between portraits and controlled-pose photographs showed that painters did not optimize each of these properties. Instead, different painters presented biases toward different, narrow ranges of fluency variables. Further analysis suggested that the painters' individuality stemmed in part from having to resolve the tension between complexity vs. symmetry and balance. We additionally found that constraints on the use of different painting materials by distinct painters modulated these fluency variables systematically. In conclusion, the Processing Fluency Theory of Esthetic Pleasure would need expansion if we were to apply it to the history of visual art since it cannot explain the lack of optimization of each fluency variables. To expand the theory, we propose the existence of a Neuroesthetic Space, which encompasses the possible values that each of the fluency variables can reach in any given art period. We discuss the neural mechanisms of this Space and propose that it has a distributed representation in the human brain. We further propose that different artists reside in different, small sub-regions of the Space. This Neuroesthetic-Space hypothesis raises the question of how painters and their paintings evolve across art periods.
机译:加工流畅理论假设大脑中感觉信息处理的易于促进美容乐趣。因此,该理论将预测主画家应该向视觉属性显示偏差,例如对称性,平衡和中等复杂性。是否已经发生了这些偏见,如果是这样,有画家一直在优化这些属性(流利变量)?在这里,我们与早期文艺复兴时期的肖像画统计数据解决了这些问题。为此,我们首先为上述流畅变量的每个流畅变量开发了不同的计算措施。然后,我们在来自26个主画家的153个肖像中衡量了他们的统计数据,在三个受控姿势中的27个人的照片中,38次迅速拍摄了个别人的照片。早期文艺复兴时期肖像之间的统计比较,迅速拍打照片揭示了画家对平衡,对称性和中等复杂性的偏见表现出偏见。然而,肖像和控制姿势照片之间的比较显示,画家没有优化这些属性中的每一个。相反,不同的画家向不同,狭窄的流利变量的偏见呈现偏见。进一步的分析表明,画家的个性部分地源于不得不解决复杂性与对称性和平衡之间的张力。我们还发现,通过不同的绘画者使用不同的涂装材料的限制来系统地调制这些流畅度变量。总之,如果我们将其应用于视觉艺术的历史,因此,审美乐趣的加工流畅理论将需要扩展,因为它无法解释每个流畅变量的优化缺乏优化。为了扩大理论,我们提出了一种神经泡空间的存在,其包括在任何给定的艺术时期中可以达到的每个流畅变量的可能值。我们讨论了该空间的神经机制,并提出了人脑中具有分布式表示。我们进一步提出了不同的艺术家居住在空间的不同,小子区域。这种神经嗜睡空间假设提出了画家和绘画如何在艺术时期发展的问题。

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