title: Measuring social interaction in music ensembles.
abstract: Music ensembles are an ideal test-bed for quantitative analysis of social interaction. Music is an inherently social activity, and music ensembles offer a broad variety of scenarios which are particularly suitable for investigation. Small ensembles, such as string quartets, are deemed a significant example of self-managed teams, where all musicians contribute equally to a task. In bigger ensembles, such as orchestras, the relationship between a leader (the conductor) and a group of followers (the musicians) clearly emerges. This paper presents an overview of recent research on social interaction in music ensembles with a particular focus on (i) studies from cognitive neuroscience; and (ii) studies adopting a computational approach for carrying out automatic quantitative analysis of ensemble music performances.
authors.affiliation: Casa Paganini-InfoMus, DIBRIS, Università degli Studi di Genova, Viale Causa 13, Genova 16145, Italy gualtiero.volpe@unige.it.
authors.forename: Gualtiero
authors.identifier: http://orcid.org/0000-0003-0760-4627
authors.initials: G
authors.lastname: Volpe
authors.affiliation: Istituto Italiano di Tecnologia, CTNSC IIT@UniFe, Via Fossato di Mortara 17/19, Ferrara 44121, Italy.
authors.forename: Alessandro
authors.initials: A
authors.lastname: D'Ausilio
authors.affiliation: Istituto Italiano di Tecnologia, CTNSC IIT@UniFe, Via Fossato di Mortara 17/19, Ferrara 44121, Italy.
authors.forename: Leonardo
authors.initials: L
authors.lastname: Badino
authors.affiliation: Casa Paganini-InfoMus, DIBRIS, Università degli Studi di Genova, Viale Causa 13, Genova 16145, Italy.
authors.forename: Antonio
authors.initials: A
authors.lastname: Camurri
authors.affiliation: Istituto Italiano di Tecnologia, CTNSC IIT@UniFe, Via Fossato di Mortara 17/19, Ferrara 44121, Italy Section of Human Physiology, University of Ferrara, Via Fossato di Mortara 17/19, Ferrara 44121, Italy.
authors.forename: Luciano
authors.initials: L
authors.lastname: Fadiga
mesh_terms: D006126:Group Processes; D006801:Humans; D007398:Interpersonal Relations; D009146:Music / Q000523:psychology*; D009633:Nonverbal Communication
keywords: computational approaches; leadership; mirror neurons; music ensembles; social interaction; synchronization