English
 
User Manual Privacy Policy Disclaimer Contact us
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  The voice of emotion across species: How do human listeners recognize animals' affective states?

Scheumann, M., Hasting, A. S., Kotz, S. A., & Zimmermann, E. (2014). The voice of emotion across species: How do human listeners recognize animals' affective states? PLoS One, 9(3): e91192. doi:10.1371/journal.pone.0091192.

Item is

Basic

show hide
Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0024-4F87-C Version Permalink: http://hdl.handle.net/21.11116/0000-0003-7FE1-1
Genre: Journal Article

Files

show Files
hide Files
:
Scheumann_VoiceofEmotion.pdf (Publisher version), 2MB
Name:
Scheumann_VoiceofEmotion.pdf
Description:
-
Visibility:
Public
MIME-Type / Checksum:
application/pdf / [MD5]
Technical Metadata:
Copyright Date:
-
Copyright Info:
© 2014 Scheumann et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Locators

show

Creators

show
hide
 Creators:
Scheumann, Marina1, Author
Hasting, Anna S.2, 3, Author              
Kotz, Sonja A.2, 4, Author              
Zimmermann, Elke1, Author
Affiliations:
1Institute of Zoology, University of Veterinary Medicine Hannover, Germany, ou_persistent22              
2Department Neuropsychology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634551              
3Clinic for Cognitive Neurology, University of Leipzig, Germany, ou_persistent22              
4School of Psychological Sciences, University of Manchester, United Kingdom, ou_persistent22              

Content

show
hide
Free keywords: -
 Abstract: Voice-induced cross-taxa emotional recognition is the ability to understand the emotional state of another species based on its voice. In the past, induced affective states, experience-dependent higher cognitive processes or cross-taxa universal acoustic coding and processing mechanisms have been discussed to underlie this ability in humans. The present study sets out to distinguish the influence of familiarity and phylogeny on voice-induced cross-taxa emotional perception in humans. For the first time, two perspectives are taken into account: the self- (i.e. emotional valence induced in the listener) versus the others-perspective (i.e. correct recognition of the emotional valence of the recording context). Twenty-eight male participants listened to 192 vocalizations of four different species (human infant, dog, chimpanzee and tree shrew). Stimuli were recorded either in an agonistic (negative emotional valence) or affiliative (positive emotional valence) context. Participants rated the emotional valence of the stimuli adopting self- and others-perspective by using a 5-point version of the Self-Assessment Manikin (SAM). Familiarity was assessed based on subjective rating, objective labelling of the respective stimuli and interaction time with the respective species. Participants reliably recognized the emotional valence of human voices, whereas the results for animal voices were mixed. The correct classification of animal voices depended on the listener's familiarity with the species and the call type/recording context, whereas there was less influence of induced emotional states and phylogeny. Our results provide first evidence that explicit voice-induced cross-taxa emotional recognition in humans is shaped more by experience-dependent cognitive mechanisms than by induced affective states or cross-taxa universal acoustic coding and processing mechanisms.

Details

show
hide
Language(s): eng - English
 Dates: 2013-09-232014-02-112014-03-12
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: Peer
 Identifiers: DOI: 10.1371/journal.pone.0091192
PMID: 24621604
PMC: PMC3951321
Other: eCollection 2014
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: PLoS One
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: San Francisco, CA : Public Library of Science
Pages: - Volume / Issue: 9 (3) Sequence Number: e91192 Start / End Page: - Identifier: ISSN: 1932-6203
CoNE: /journals/resource/1000000000277850