im PublikationsserverTitelangaben
Akkermans, Jessica ; Schapiro, Renee ; Müllensiefen, Daniel ; Jakubowski, Kelly ; Shanahan, Daniel ; Baker, David ; Busch, Veronika ; Lothwesen, Kai Stefan ; Elvers, Paul ; Fischinger, Timo ; Schlemmer, Kathrin
; Frieler, Klaus:
Decoding emotions in expressive music performances : a multi-lab replication and extension study.
In: Cognition and Emotion. 32 (2019) 6.
- S. 1099-1118.
ISSN 0269-9931 ; 1464-0600
Volltext
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Link zum Volltext (externe URL): https://doi.org/10.1080/02699931.2018.1541312 |
Kurzfassung/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.
Forschungsprojekte
Weitere Angaben
| Publikationsform: | Artikel |
|---|---|
| Schlagwörter: | Emotion decoding, emotion study, musical training, replication, expressive performance |
| Sprache des Eintrags: | Englisch |
| Institutionen der Universität: | Philosophisch-Pädagogische Fakultät > Musik > Professur für Musikwissenschaft |
| DOI / URN / ID: | 10.1080/02699931.2018.1541312 |
| Open Access: Freie Zugänglichkeit des Volltexts?: | Nein |
| Peer-Review-Journal: | Ja |
| Verlag: | Routledge, Taylor & Francis Group |
| Die Zeitschrift ist nachgewiesen in: | |
| Titel an der KU entstanden: | Ja |
| KU.edoc-ID: | 22066 |
Letzte Änderung: 02. Mär 2022 12:24
URL zu dieser Anzeige: https://edoc.ku.de/id/eprint/22066/
