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Musical Preference: Role of Personality and Music-Related Acoustic Features

机译:音乐偏好:人格和音乐相关声学功能的作用

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Personality factors, typically determined by the Big Five Inventory (BFI), have been a primary method for investigating individual preferences in music. While these studies have yielded a number of insights into musical choices, weaknesses exist, owing to the methods by which music is characterized and categorized. For example, musical genre, music-preference dimensions (e.g., reflective and complex), and musical attributes (e.g., strong and mellow), reported within the literature, have arguably produced inconsistent and thus difficult to interpret results. We attempt to circumvent these inconsistencies by classifying music using objectively quantifiable acoustic features that are fundamental to Western music, such as tempo and register. Moreover, it is our contention that the link between musical preference and personality may operate primarily at the level of acoustic features and not at broader categorization levels, such as genre. This study attempts to address this issue. Ninety participants listened to and indicated preference for stimuli that were systematically manipulated by dynamics (attack rate), mode, register, and tempo. Personality was measured using the BFI, allowing for analysis of personality traits and preference for acoustic features. Results supported the link between personality and preference for certain acoustic features. Preference with respect to dynamics was related to openness and extraversion; mode to conscientiousness and extraversion; register to extraversion and neuroticism; and tempo to conscientiousness, extraversion, and neuroticism. Though significant, these associations were relatively weak; therefore, future research could expand the number of manipulated acoustic features. Specific attempts should also aim to disentangle the effects of genre versus acoustic features on musical preferences. Personality–preference relationships at the acoustic-feature level are discussed with respect to music recommender systems and other aspects of the literature.
机译:通常由五大库存(BFI)确定的个性因素是调查音乐中个人偏好的主要方法。虽然这些研究已经产生了许多洞察力,但由于音乐的特征和分类的方法,存在弱点。例如,音乐类型,音乐偏好尺寸(例如,反射和复杂)和音乐属性(例如,强大和醇厚),在文献中报告,可以说可以使得不一致,因此难以解释结果。我们试图通过使用对西方音乐基础的客观性量化的声学功能进行分类,如速度和注册。此外,我们的争论是音乐偏好和个性之间的联系可能主要在声学特征的水平上运行,而不是更广泛的分类水平,例如类型。这项研究试图解决这个问题。九十名参与者听取并指出了通过动态(攻击率),模式,注册和速度系统地操纵的刺激的偏好。使用BFI测量个性,从而允许分析人格性状和声学特征的偏好。结果支持人格与某些声学特征之间的联系。关于动态的偏好与开放性和途径有关;模式以牺牲和外向倾向;注册潜水和神经质;和节奏令人满意,倾向和神经质。虽然重要的是,这些关联相对较弱;因此,未来的研究可以扩大操纵声学特征的数量。具体尝试还应该旨在解开类型与声学特征对音乐偏好的影响。关于音乐推荐系统和文献的其他方面,讨论了声学特征级别的个性偏好关系。

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