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  Decoding emotions in expressive music performances: A multi-lab replication and extension study

Akkermans, J., Schapiro, R., Mullensiefen, D., Jakubowski, K., Shanahan, D., Baker, D., et al. (2019). Decoding emotions in expressive music performances: A multi-lab replication and extension study. Cognition & Emotion, 33(6), 1099-1118. doi:10.1080/02699931.2018.1541312.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0004-4B8B-C Version Permalink: http://hdl.handle.net/21.11116/0000-0004-4B8C-B
Genre: Journal Article


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Akkermans, Jessica1, Author
Schapiro, Renee1, Author
Mullensiefen, Daniel1, Author
Jakubowski, Kelly2, Author
Shanahan, Daniel3, Author
Baker, David3, Author
Busch, Veronika4, Author
Lothwesen, Kai4, Author
Elvers, Paul5, Author              
Fischinger, Timo5, Author              
Schlemmer, Kathrin6, Author
Frieler, Klaus7, Author
1Department of Psychology, Goldsmiths, University of London , London, UK, ou_persistent22              
2Department of Music, Durham University , Durham, UK, ou_persistent22              
3College of Humanities and Social Sciences, Louisiana State University , Baton Rouge, LA, USA, ou_persistent22              
4Department of Musicology and Music Education, University of Bremen , Bremen, Germany, ou_persistent22              
5Department of Music, Max Planck Institute for Empirical Aesthetics, Max Planck Society, ou_2421696              
6Music Department, Catholic University of Eichstätt-Ingolstadt , Eichstaett, Germany, ou_persistent22              
7Institute for Musicology, University of Music “Franz Liszt” , Weimar, Hamburg, Germany, ou_persistent22              


Free keywords: Emotion decoding; emotion study; musical training; replication; expressive performance
 Abstract: With over 560 citations reported on Google Scholar by April 2018, a publication by Juslin and Gabrielsson (1996) presented evidence supporting performers' abilities to communicate, with high accuracy, their intended emotional expressions in music to listeners. Though there have been related studies published on this topic, there has yet to be a direct replication of this paper. A replication is warranted given the paper's influence in the field and the implications of its results. The present experiment joins the recent replication effort by producing a five-lab replication using the original methodology. Expressive performances of seven emotions (e.g. happy, sad, angry, etc.) by professional musicians were recorded using the same three melodies from the original study. Participants (N = 319) were presented with recordings and rated how well each emotion matched the emotional quality using a 0-10 scale. The same instruments from the original study (i.e. violin, voice, and flute) were used, with the addition of piano. In an effort to increase the accessibility of the experiment and allow for a more ecologically-valid environment, the recordings were presented using an internet-based survey platform. As an extension to the original study, this experiment investigated how musicality, emotional intelligence, and emotional contagion might explain individual differences in the decoding process. Results found overall high decoding accuracy (57%) when using emotion ratings aggregated for the sample of participants, similar to the method of analysis from the original study. However, when decoding accuracy was scored for each participant individually the average accuracy was much lower (31%). Unlike in the original study, the voice was found to be the most expressive instrument. Generalised Linear Mixed Effects Regression modelling revealed that musical training and emotional engagement with music positively influences emotion decoding accuracy.


 Dates: 2018-09-232018-05-022018-10-072018-11-082019-08-18
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: -
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Source 1

Title: Cognition & Emotion
  Other : Cogn. Emot.
Source Genre: Journal
Publ. Info: London : Taylor & Francis
Pages: - Volume / Issue: 33 (6) Sequence Number: - Start / End Page: 1099 - 1118 Identifier: ISSN: 0269-9931
CoNE: https://pure.mpg.de/cone/journals/resource/954925255151