首页> 美国卫生研究院文献>Frontiers in Neuroscience >Repeated Listening Increases the Liking for Music Regardless of Its Complexity: Implications for the Appreciation and Aesthetics of Music
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Repeated Listening Increases the Liking for Music Regardless of Its Complexity: Implications for the Appreciation and Aesthetics of Music

机译:重复聆听无论音乐多么复杂都会增加对音乐的喜好:对音乐欣赏和美学的启示

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摘要

Psychological and aesthetic theories predict that music is appreciated at optimal, peak levels of familiarity and complexity, and that appreciation of music exhibits an inverted U-shaped relationship with familiarity as well as complexity. Because increased familiarity conceivably leads to improved processing and less perceived complexity, we test whether there is an interaction between familiarity and complexity. Specifically, increased familiarity should render the music subjectively less complex, and therefore move the apex of the U curve toward greater complexity. A naturalistic listening experiment was conducted, featuring 40 music examples (ME) divided by experts into 4 levels of complexity prior to the main experiment. The MEs were presented 28 times each across a period of approximately 4 weeks, and individual ratings were assessed throughout the experiment. Ratings of liking increased monotonically with repeated listening at all levels of complexity; both the simplest and the most complex MEs were liked more as a function of listening time, without any indication of a U-shaped relation. Although the MEs were previously unknown to the participants, the strongest predictor of liking was familiarity in terms of having listened to similar music before, i.e., familiarity with musical style. We conclude that familiarity is the single most important variable for explaining differences in liking among music, regardless of the complexity of the music.
机译:心理和美学理论预测,音乐会以最佳的熟悉度和复杂度达到最高水平,并且欣赏音乐会表现出与熟悉度和复杂度呈倒U型关系。因为可以想象,增加的熟悉度可以改善处理过程并降低复杂性,因此我们测试了熟悉度和复杂度之间是否存在相互作用。具体而言,增加的熟悉度应使音乐主观上的复杂度降低,因此将U曲线的顶点移向更大的复杂度。进行了自然主义的聆听实验,在主要实验之前,专家将40个音乐示例(ME)分为4个复杂度级别。在大约4周的时间内,每个ME出现28次,并且在整个实验过程中评估了各个等级。在各种复杂程度的反复聆听下,喜欢的等级会单调提高;最简单和最复杂的ME都更喜欢作为收听时间的函数,而没有任何U型关系的迹象。尽管参与者以前不知道ME,但是最喜欢的预测因素是在听过类似音乐之前就已经熟悉,即对音乐风格的熟悉。我们得出结论,无论音乐的复杂程度如何,熟悉度是解释音乐之间喜好差异的唯一最重要的变量。

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