Department of Psychology, University of Konstanz, D-78457, Konstanz, Germany.
School of Psychology, Murdoch University, Murdoch, Australia.
Sci Rep. 2023 Mar 13;13(1):4134. doi: 10.1038/s41598-023-31175-w.
In 1753, artist William Hogarth declared a specific S-shaped line to be the 'Line of Beauty' (LoB). Hogarth's assertion has had a profound impact on diverse fields over the past two and a half centuries. However, only one recent (2022) study has investigated whether Hogarth's assertion accurately captures humans' actual aesthetic preferences, and no research has explored why people find the LoB beautiful. We conducted two studies testing the hypothesis that the LoB's perceived beauty is an incidental by-product of cognitive systems that evolved to attend to fitness-relevant morphological features in people. In Study 1, we replicated the finding that female bodies whose lumbar curvature approximates the biomechanical optimum for dealing with the exigencies of pregnancy are rated as more attractive. In Study 2, we found that abstract lines extracted from these bodies were perceived as more beautiful than other lines. These results suggest that the preference for Hogarth's LoB is an incidental by-product of psychological mechanisms that evolved for other purposes. More broadly, these findings suggest that an evolutionary psychological approach - in particular the concept of evolutionary by-product - may be useful for understanding, explaining, and predicting people's aesthetic preferences for certain abstract symbols, which otherwise might seem arbitrary and inexplicable.
1753 年,艺术家威廉·贺加斯(William Hogarth)宣称特定的 S 形线为“美的线条”(Line of Beauty,LoB)。在过去的两个半世纪里,贺加斯的断言对众多领域产生了深远的影响。然而,直到最近(2022 年)才有一项研究调查了贺加斯的断言是否准确地捕捉到了人类实际的审美偏好,而且没有研究探讨人们为什么觉得 LoB 很美。我们进行了两项研究来检验以下假设:即 LoB 的美感是认知系统的偶然副产品,这些认知系统是为了关注人类与适应生育相关的形态特征而进化的。在研究 1 中,我们复制了这样的发现,即腰部曲率接近生育所需的生物力学最优状态的女性身体被认为更有吸引力。在研究 2 中,我们发现从这些身体中提取的抽象线条比其他线条被认为更美丽。这些结果表明,对贺加斯的 LoB 的偏好是进化而来的心理机制的偶然副产品,这些心理机制是为了其他目的而进化的。更广泛地说,这些发现表明,进化心理学方法——特别是进化副产品的概念——可能有助于理解、解释和预测人们对某些抽象符号的审美偏好,否则这些偏好可能看起来是任意的和无法解释的。