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Timing Markers of Interaction Quality During Semi-Hocket Singing
Music is believed to work as a bio-social tool enabling groups of people to establish joint action and group bonding experiences. However, little is known about the quality of the group members’ interaction needed to bring about these effects. To investigate the role of interaction quality, and its...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7315043/ https://www.ncbi.nlm.nih.gov/pubmed/32625057 http://dx.doi.org/10.3389/fnins.2020.00619 |
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author | Dell’Anna, Alessandro Buhmann, Jeska Six, Joren Maes, Pieter-Jan Leman, Marc |
author_facet | Dell’Anna, Alessandro Buhmann, Jeska Six, Joren Maes, Pieter-Jan Leman, Marc |
author_sort | Dell’Anna, Alessandro |
collection | PubMed |
description | Music is believed to work as a bio-social tool enabling groups of people to establish joint action and group bonding experiences. However, little is known about the quality of the group members’ interaction needed to bring about these effects. To investigate the role of interaction quality, and its effect on joint action and bonding experience, we asked dyads (two singers) to perform music in medieval “hocket” style, in order to engage their co-regulatory activity. The music contained three relative inter-onset-interval (IOI) classes: quarter note, dotted quarter note and eight note, marking time intervals between successive onsets (generated by both singers). We hypothesized that singers co-regulated their activity by minimizing prediction errors in view of stable IOI-classes. Prediction errors were measured using a dynamic Bayesian inference approach that allows us to identify three different types of error called fluctuation (micro-timing errors measured in milliseconds), narration (omission errors or misattribution of an IOI to a wrong IOI class), and collapse errors (macro-timing errors that cause the breakdown of a performance). These three types of errors were correlated with the singers’ estimated quality of the performance and the experienced sense of joint agency. We let the singers perform either while moving or standing still, under the hypothesis that the moving condition would have reduced timing errors and increased We-agency as opposed to Shared-agency (the former portraying a condition in which the performers blend into one another, the latter portraying a joint, but distinct, control of the performance). The results show that estimated quality correlates with fluctuation and narration errors, while agency correlates (to a lesser degree) with narration errors. Somewhat unexpectedly, there was a minor effect of movement, and it was beneficial only for good performers. Joint agency resulted in a “shared,” rather than a “we,” sense of joint agency. The methodology and findings open up promising avenues for future research on social embodied music interaction. |
format | Online Article Text |
id | pubmed-7315043 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-73150432020-07-02 Timing Markers of Interaction Quality During Semi-Hocket Singing Dell’Anna, Alessandro Buhmann, Jeska Six, Joren Maes, Pieter-Jan Leman, Marc Front Neurosci Neuroscience Music is believed to work as a bio-social tool enabling groups of people to establish joint action and group bonding experiences. However, little is known about the quality of the group members’ interaction needed to bring about these effects. To investigate the role of interaction quality, and its effect on joint action and bonding experience, we asked dyads (two singers) to perform music in medieval “hocket” style, in order to engage their co-regulatory activity. The music contained three relative inter-onset-interval (IOI) classes: quarter note, dotted quarter note and eight note, marking time intervals between successive onsets (generated by both singers). We hypothesized that singers co-regulated their activity by minimizing prediction errors in view of stable IOI-classes. Prediction errors were measured using a dynamic Bayesian inference approach that allows us to identify three different types of error called fluctuation (micro-timing errors measured in milliseconds), narration (omission errors or misattribution of an IOI to a wrong IOI class), and collapse errors (macro-timing errors that cause the breakdown of a performance). These three types of errors were correlated with the singers’ estimated quality of the performance and the experienced sense of joint agency. We let the singers perform either while moving or standing still, under the hypothesis that the moving condition would have reduced timing errors and increased We-agency as opposed to Shared-agency (the former portraying a condition in which the performers blend into one another, the latter portraying a joint, but distinct, control of the performance). The results show that estimated quality correlates with fluctuation and narration errors, while agency correlates (to a lesser degree) with narration errors. Somewhat unexpectedly, there was a minor effect of movement, and it was beneficial only for good performers. Joint agency resulted in a “shared,” rather than a “we,” sense of joint agency. The methodology and findings open up promising avenues for future research on social embodied music interaction. Frontiers Media S.A. 2020-06-16 /pmc/articles/PMC7315043/ /pubmed/32625057 http://dx.doi.org/10.3389/fnins.2020.00619 Text en Copyright © 2020 Dell’Anna, Buhmann, Six, Maes and Leman. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neuroscience Dell’Anna, Alessandro Buhmann, Jeska Six, Joren Maes, Pieter-Jan Leman, Marc Timing Markers of Interaction Quality During Semi-Hocket Singing |
title | Timing Markers of Interaction Quality During Semi-Hocket Singing |
title_full | Timing Markers of Interaction Quality During Semi-Hocket Singing |
title_fullStr | Timing Markers of Interaction Quality During Semi-Hocket Singing |
title_full_unstemmed | Timing Markers of Interaction Quality During Semi-Hocket Singing |
title_short | Timing Markers of Interaction Quality During Semi-Hocket Singing |
title_sort | timing markers of interaction quality during semi-hocket singing |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7315043/ https://www.ncbi.nlm.nih.gov/pubmed/32625057 http://dx.doi.org/10.3389/fnins.2020.00619 |
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