Abstract

Playing music is a complex task that relies on the combination of musicians’ technical and expressive skills. While the literature has investigated the effects of musical expressivity on the listeners, the way how technical difficulty and emotional expressivity affect musicians during playing has surprisingly received no attention. In an attempt to fill this gap in the literature, we collected behavioral and physiological data from twelve violinists playing 29 pieces that included both technical exercises and excerpts from classical repertoire for violin. After playing each stimulus, participants rated it for emotional expressivity and technical difficulty. During the entire session, cardiac parameters and electrodermal activity were collected, together with the kinematic parameters of the bowing gesture. A set of Linear Mixed-Effect (LME) models suggested that emotional expressivity attributed to music affected the fluidity of bowing (i.e., smoothness), with the excerpts rated as more expressive being performed in a less smooth way. In contrast, LME models revealed no effects of expressivity and technical difficulty on any of the physiological parameters of violinists. Our results offer novel insights into the psychophysiological dynamics that link motor parameters with musical expressivity. These findings could influence educational practices in music and deepen our understanding of aesthetic emotions.

Details

Title
Expressivity attributed to music affects the smoothness of bowing movements in violinists
Author
Di Stefano, Nicola 1 ; Lo Presti, Daniela 2 ; Raiano, Luigi 2 ; Massaroni, Carlo 2 ; Romano, Chiara 2 ; Schena, Emiliano 2 ; Leman, Marc 3 ; Formica, Domenico 4 

 National Research Council of Italy (CNR), Institute of Cognitive Sciences and Technologies (ISTC), Rome, Italy (GRID:grid.428479.4) (ISNI:0000 0001 2297 9633) 
 Università Campus Bio-Medico di Roma (UCBM), Unit of Measurements and Biomedical Instrumentation, Dept. of Engineering, Rome, Italy (GRID:grid.9657.d) (ISNI:0000 0004 1757 5329) 
 Ghent University, Institute for Systematic Musicology (IPEM), Ghent, Belgium (GRID:grid.5342.0) (ISNI:0000 0001 2069 7798) 
 Newcastle University, School of Engineering, Newcastle upon Tyne, UK (GRID:grid.1006.7) (ISNI:0000 0001 0462 7212) 
Pages
22267
Publication year
2024
Publication date
2024
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
3110577934
Copyright
© The Author(s) 2024. corrected publication 2024. This work is published under http://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.