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

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 di...

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Main Authors: Marina Scheumann, Anna S Hasting, Sonja A Kotz, Elke Zimmermann
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2014-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC3951321?pdf=render
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spelling doaj-6267d52816224b60b68084d0de0aed0a2020-11-24T21:38:21ZengPublic Library of Science (PLoS)PLoS ONE1932-62032014-01-0193e9119210.1371/journal.pone.0091192The voice of emotion across species: how do human listeners recognize animals' affective states?Marina ScheumannAnna S HastingSonja A KotzElke ZimmermannVoice-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.http://europepmc.org/articles/PMC3951321?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Marina Scheumann
Anna S Hasting
Sonja A Kotz
Elke Zimmermann
spellingShingle Marina Scheumann
Anna S Hasting
Sonja A Kotz
Elke Zimmermann
The voice of emotion across species: how do human listeners recognize animals' affective states?
PLoS ONE
author_facet Marina Scheumann
Anna S Hasting
Sonja A Kotz
Elke Zimmermann
author_sort Marina Scheumann
title The voice of emotion across species: how do human listeners recognize animals' affective states?
title_short The voice of emotion across species: how do human listeners recognize animals' affective states?
title_full The voice of emotion across species: how do human listeners recognize animals' affective states?
title_fullStr The voice of emotion across species: how do human listeners recognize animals' affective states?
title_full_unstemmed The voice of emotion across species: how do human listeners recognize animals' affective states?
title_sort voice of emotion across species: how do human listeners recognize animals' affective states?
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2014-01-01
description 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.
url http://europepmc.org/articles/PMC3951321?pdf=render
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