The Expression and Recognition of Emotions in the Voice Across Five Nations: A Lens Model Analysis Based on Acoustic Features.

This study extends previous work on emotion communication across cultures with a large-scale investigation of the physical expression cues in vocal tone. In doing so, it provides the first direct test of a key proposition of dialect theory, namely that greater accuracy of detecting emotions from one...

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Publicado en:Journal of Personality & Social Psychology Vol. 111; no. 5; pp. 686 - 706
Autores principales: Laukka, Petri, Elfenbein, Hillary Anger, Thingujam, Nutankumar S., Rockstuhl, Thomas, Iraki, Frederick K., Wanda Chui, Althoff, Jean
Formato: Artículo
Publicado: American Psychological Association Nov2016
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Nov2016
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      pub: American Psychological Association
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        10.1037/pspi0000066
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        atl: The Expression and Recognition of Emotions in the Voice Across Five Nations: A Lens Model Analysis Based on Acoustic Features.
      aug:
        au:
          Laukka, Petri
          Elfenbein, Hillary Anger
          Thingujam, Nutankumar S.
          Rockstuhl, Thomas
          Iraki, Frederick K.
          Wanda Chui
          Althoff, Jean
        affil:
          Stockholm University
          Washington University in St. Louis
          Sikkim University
          Nanyang Technological University
          United States International University
          University of California, Berkeley
          University of Queensland
      su:
        Emotions
        Self-expression
        Recognition (Psychology)
        Cross-cultural studies
        Ingroups (Social groups)
        Haudenosaunee (North American people)
        Acoustics
        Emotional state
      sug:
        subj:
          Emotions
          Self-expression
          Recognition (Psychology)
          Cross-cultural studies
          Ingroups (Social groups)
          Haudenosaunee (North American people)
          Acoustics
          Emotional state
      keyword:
        culture
        dialect theory
        emotion
        in-group advantage
        speech
        culture
        dialect theory
        emotion
        in-group advantage
        speech
      ab: This study extends previous work on emotion communication across cultures with a large-scale investigation of the physical expression cues in vocal tone. In doing so, it provides the first direct test of a key proposition of dialect theory, namely that greater accuracy of detecting emotions from one's own cultural group--known as in-group advantage--results from a match between culturally specific schemas in emotional expression style and culturally specific schemas in emotion recognition. Study 1 used stimuli from 100 professional actors from five English-speaking nations vocally conveying 11 emotional states (anger, contempt, fear, happiness, interest, lust, neutral, pride, relief, sadness, and shame) using standardcontent sentences. Detailed acoustic analyses showed many similarities across groups, and yet also systematic group differences. This provides evidence for cultural accents in expressive style at the level of acoustic cues. In Study 2, listeners evaluated these expressions in a 5 X 5 design balanced across groups. Cross-cultural accuracy was greater than expected by chance. However, there was also in-group advantage, which varied across emotions. A lens model analysis of fundamental acoustic properties examined patterns in emotional expression and perception within and across groups. Acoustic cues were used relatively similarly across groups both to produce and judge emotions, and yet there were also subtle cultural differences. Speakers appear to have a culturally nuanced schema for enacting vocal tones via acoustic cues, and perceivers have a culturally nuanced schema in judging them. Consistent with dialect theory's prediction, in-group judgments showed a greater match between these schemas used for emotional expression and perception.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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