Audience facial expressions detected by automated face analysis software reflect emotions in music

Kayser, Diana, Egermann, Hauke orcid.org/0000-0001-7014-7989 and Barraclough, Nick E orcid.org/0000-0003-2818-326X (2021) Audience facial expressions detected by automated face analysis software reflect emotions in music. Behavior research methods. ISSN 1554-351X

Abstract

Metadata

Authors/Creators:
Copyright, Publisher and Additional Information: © 2021. The Author(s).
Dates:
  • Published (online): 10 September 2021
Institution: The University of York
Academic Units: The University of York > Faculty of Arts and Humanities (York) > Music (York)
The University of York > Faculty of Sciences (York) > Psychology (York)
Depositing User: Pure (York)
Date Deposited: 22 Sep 2021 10:40
Last Modified: 03 Jun 2022 23:46
Published Version: https://doi.org/10.3758/s13428-021-01678-3
Status: Published online
Refereed: Yes
Identification Number: https://doi.org/10.3758/s13428-021-01678-3

Download

Filename: Kayser2021_Article_AudienceFacialExpressionsDetec.pdf

Description: Kayser2021_Article_AudienceFacialExpressionsDetec

Licence: CC-BY 2.5

Share / Export

Statistics