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评估音乐中的人机协同创作过程:以变色龙旋律和声器为例

Evaluating Human-Computer Co-creative Processes in Music: A Case Study on the CHAMELEON Melodic Harmonizer.

作者信息

Zacharakis Asterios, Kaliakatsos-Papakostas Maximos, Kalaitzidou Stamatia, Cambouropoulos Emilios

机构信息

School of Music Studies, Aristotle University of Thessaloniki, Thessaloniki, Greece.

出版信息

Front Psychol. 2021 Feb 22;12:603752. doi: 10.3389/fpsyg.2021.603752. eCollection 2021.

DOI:10.3389/fpsyg.2021.603752
PMID:33762994
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7983946/
Abstract

CHAMELEON is a computational melodic harmonization assistant. It can harmonize a given melody according to a number of independent harmonic idioms or blends between idioms based on principles of conceptual blending theory. Thus, the system is capable of offering a wealth of possible solutions and viewpoints for melodic harmonization. This study investigates how human creativity may be influenced by the use of CHAMELEON in a melodic harmonization task. Professional and novice music composers participated in an experiment where they were asked to harmonize two similar melodies under two different conditions: one with and one without computational support. A control group harmonized both melodies without computational assistance. The influence of the system was examined both behaviorally, by comparing metrics of user-experience, and in terms of the properties of the artifacts (i.e., pitch class distribution and number of chord types characterizing each harmonization) that were created between the two experimental conditions. Results suggest that appreciation of the system was expertise-dependent (i.e., novices appreciated the computational support more than professionals). At the same time, users seemed to adopt more explorative strategies as a result of interaction with CHAMELEON based on the fact that the harmonizations created this way were more complex, diverse, and unexpected in comparison to the ones of the control group.

摘要

变色龙是一种旋律和声计算辅助工具。它可以根据一些独立的和声风格或基于概念融合理论原则的风格之间的融合,为给定的旋律配和声。因此,该系统能够为旋律和声提供大量可能的解决方案和观点。本研究调查了在旋律和声任务中使用变色龙对人类创造力的影响。专业和新手音乐作曲家参与了一项实验,他们被要求在两种不同条件下为两首相似的旋律配和声:一种是有计算支持,另一种是没有计算支持。一个对照组在没有计算辅助的情况下为两首旋律配和声。通过比较用户体验指标,从行为上考察了该系统的影响,并根据在两种实验条件下创作的作品的属性(即音级分布和表征每种和声的和弦类型数量)进行考察。结果表明,对该系统的评价取决于专业知识(即新手比专业人士更欣赏计算支持)。同时,由于与变色龙的交互,用户似乎采取了更多探索性策略,基于这样一个事实,即与对照组相比,以这种方式创作的和声更加复杂、多样且出人意料。

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本文引用的文献

1
Dual-process contributions to creativity in jazz improvisations: An SPM-EEG study.双加工理论对爵士乐即兴创作中创造力的贡献:一项 SPM-EEG 研究。
Neuroimage. 2020 Jun;213:116632. doi: 10.1016/j.neuroimage.2020.116632. Epub 2020 Feb 28.
2
Right temporal alpha oscillations as a neural mechanism for inhibiting obvious associations.右侧颞叶 alpha 振荡是抑制明显联想的神经机制。
Proc Natl Acad Sci U S A. 2018 Dec 26;115(52):E12144-E12152. doi: 10.1073/pnas.1811465115. Epub 2018 Dec 12.
3
Modelling Creativity: Identifying Key Components through a Corpus-Based Approach.
创造力建模:通过基于语料库的方法识别关键要素。
PLoS One. 2016 Oct 5;11(10):e0162959. doi: 10.1371/journal.pone.0162959. eCollection 2016.
4
Where do bright ideas occur in our brain? Meta-analytic evidence from neuroimaging studies of domain-specific creativity.我们大脑中那些绝妙的想法出现在哪里?来自特定领域创造力神经影像学研究的元分析证据。
Front Psychol. 2015 Aug 11;6:1195. doi: 10.3389/fpsyg.2015.01195. eCollection 2015.
5
The evolutionary roots of creativity: mechanisms and motivations.创造力的进化根源:机制与动机。
Philos Trans R Soc Lond B Biol Sci. 2015 Mar 19;370(1664):20140099. doi: 10.1098/rstb.2014.0099.
6
When to use the Bonferroni correction.何时使用邦费罗尼校正。
Ophthalmic Physiol Opt. 2014 Sep;34(5):502-8. doi: 10.1111/opo.12131. Epub 2014 Apr 2.