Department of Psychology, The University of Chicago.
Center for Practical Wisdom, The University of Chicago.
Cogn Sci. 2019 May;43(5):e12734. doi: 10.1111/cogs.12734.
People across the world seek out beautiful sounds in nature, such as a babbling brook or a nightingale song, for positive human experiences. However, it is unclear whether this positive aesthetic response is driven by a preference for the perceptual features typical of nature sounds versus a higher-order association of nature with beauty. To test these hypotheses, participants provided aesthetic judgments for nature and urban soundscapes that varied on ease of recognition. Results demonstrated that the aesthetic preference for nature soundscapes was eliminated for the sounds hardest to recognize, and moreover the relationship between aesthetic ratings and several measured acoustic features significantly changed as a function of recognition. In a follow-up experiment, requiring participants to classify these difficult-to-identify sounds into nature or urban categories resulted in a robust preference for nature sounds and a relationship between aesthetic ratings and our measured acoustic features that was more typical of easy-to-identify sounds. This pattern of results was replicated with computer-generated artificial noises, which acoustically shared properties with the nature and urban soundscapes but by definition did not come from these environments. Taken together, these results support the conclusion that the recognition of a sound as either natural or urban dynamically organizes the relationship between aesthetic preference and perceptual features and that these preferences are not inherent to the acoustic features. Implications for nature's role in cognitive and affective restoration are discussed.
世界各地的人们都在寻找自然界中美妙的声音,如潺潺流水或夜莺的歌声,以获得积极的人类体验。然而,目前尚不清楚这种积极的审美反应是源于对自然声音典型感知特征的偏好,还是源于将自然与美联系在一起的更高层次的联想。为了检验这些假设,参与者对自然和城市的声音景观进行了审美判断,这些声音景观在识别难度上有所不同。结果表明,对于最难识别的声音,人们对自然声音景观的审美偏好消失了,而且,审美评价与几个测量到的声学特征之间的关系随着识别程度的变化而显著变化。在后续的实验中,要求参与者将这些难以识别的声音分类为自然或城市类别,结果产生了对自然声音的强烈偏好,以及审美评价与我们测量到的声学特征之间的关系,这与易于识别的声音更为相似。这一结果模式在计算机生成的人工噪声中得到了复制,这些噪声在声学上与自然和城市的声音景观具有相同的特性,但根据定义,它们并非来自这些环境。综合这些结果表明,声音被识别为自然或城市的方式会动态地组织审美偏好和感知特征之间的关系,而这些偏好并非源于声学特征。讨论了自然在认知和情感恢复中的作用。