Li Junrui, Xu Ying, Wang Xiaoyu, Yuan Xinran, Liu Shilin, Li Meihui, Ren Xiubo, Yang Dan, Liu Siqi, Jiang Zhenxu, Gou Qiaoqiao, Yang Miaomiao, Xu Qiujian
Institute for Artistic Cognition and Brain Science, Department of Music, School of Arts and Design, Yanshan University, Qinhuangdao, China.
YSU & DCU Joint Research Centre for the Arts, Music College, Daegu Catholic University, Daegu, Republic of Korea.
Front Psychol. 2024 Jul 15;15:1386831. doi: 10.3389/fpsyg.2024.1386831. eCollection 2024.
Flow, defined as a heightened state of consciousness characterized by intense concentration during an activity, is influenced primarily by the perceived challenge and the dynamic equilibrium of skills. This investigation focuses on the patterns of flow state attainment and its elicitation mechanisms within the context of piano performance among Chinese music college students.
Our study establishes a framework for accessing flow, utilizing quantitative data from music ontology to gauge the level of challenge and the level of music acquisition to assess skills. Additionally, we integrate external factors such as music culture heterogeneity and demographic variables to elucidate the causes and moderating effects of flow on piano performance.
The findings reveal a positive correlation between flow and performance, with the model of challenge and skill induction partially explaining these results. Notably, melodic Shannon Entropy emerges as a potential indicator of challenge, suggesting its relevance in future studies on flow.
This research provides multidimensional insights into the interplay between performance and flow in piano performance, guiding future investigations to explore the musical quantitative perspective more deeply.
心流被定义为一种意识高度集中的状态,其特征是在一项活动中全神贯注,主要受感知到的挑战和技能的动态平衡影响。本研究聚焦于中国音乐专业大学生在钢琴演奏情境下心流状态的达成模式及其引发机制。
我们的研究建立了一个衡量心流的框架,利用来自音乐本体论的定量数据来衡量挑战水平,并通过音乐习得水平来评估技能。此外,我们整合了音乐文化异质性和人口统计学变量等外部因素,以阐明心流对钢琴演奏的影响原因及调节作用。
研究结果显示心流与演奏之间存在正相关,挑战与技能诱导模型部分解释了这些结果。值得注意的是,旋律香农熵成为挑战的一个潜在指标,表明其在未来心流研究中的相关性。
本研究为钢琴演奏中演奏与心流之间的相互作用提供了多维度见解,指导未来研究更深入地探索音乐定量视角。