Literature DB >> 27537275

The expression and recognition of emotions in the voice across five nations: A lens model analysis based on acoustic features.

Petri Laukka1, Hillary Anger Elfenbein2, Nutankumar S Thingujam3, Thomas Rockstuhl4, Frederick K Iraki5, Wanda Chui6, Jean Althoff7.   

Abstract

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 standard-content 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 × 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. (PsycINFO Database Record (c) 2016 APA, all rights reserved).

Mesh:

Year:  2016        PMID: 27537275     DOI: 10.1037/pspi0000066

Source DB:  PubMed          Journal:  J Pers Soc Psychol        ISSN: 0022-3514


  10 in total

1.  Mapping 24 emotions conveyed by brief human vocalization.

Authors:  Alan S Cowen; Hillary Anger Elfenbein; Petri Laukka; Dacher Keltner
Journal:  Am Psychol       Date:  2018-12-20

2.  Emotional Expression: Advances in Basic Emotion Theory.

Authors:  Dacher Keltner; Disa Sauter; Jessica Tracy; Alan Cowen
Journal:  J Nonverbal Behav       Date:  2019-02-07

Review 3.  Disentangling emotional signals in the brain: an ALE meta-analysis of vocal affect perception.

Authors:  Maël Mauchand; Shuyi Zhang
Journal:  Cogn Affect Behav Neurosci       Date:  2022-08-09       Impact factor: 3.526

4.  Modeling empathy as synchrony in clinician and patient vocally encoded emotional arousal: A failure to replicate.

Authors:  Jacques Gaume; Kevin A Hallgren; Carole Clair; Marianne Schmid Mast; Valérie Carrard; David C Atkins
Journal:  J Couns Psychol       Date:  2019-01-31

5.  Emotion appraisal dimensions inferred from vocal expressions are consistent across cultures: a comparison between Australia and India.

Authors:  Henrik Nordström; Petri Laukka; Nutankumar S Thingujam; Emery Schubert; Hillary Anger Elfenbein
Journal:  R Soc Open Sci       Date:  2017-11-15       Impact factor: 2.963

6.  Toward Learning Machines at a Mother and Baby Unit.

Authors:  Magnus Boman; Johnny Downs; Abubakrelsedik Karali; Susan Pawlby
Journal:  Front Psychol       Date:  2020-11-13

7.  Effects of aging on emotion recognition from dynamic multimodal expressions and vocalizations.

Authors:  Diana S Cortes; Christina Tornberg; Tanja Bänziger; Hillary Anger Elfenbein; Håkan Fischer; Petri Laukka
Journal:  Sci Rep       Date:  2021-01-29       Impact factor: 4.379

8.  Electroencephalographic Correlate of Mexican Spanish Emotional Speech Processing in Autism Spectrum Disorder: To a Social Story and Robot-Based Intervention.

Authors:  Mathilde Marie Duville; Luz Maria Alonso-Valerdi; David I Ibarra-Zarate
Journal:  Front Hum Neurosci       Date:  2021-02-26       Impact factor: 3.169

9.  Identifying the evidence of speech emotional dialects using artificial intelligence: A cross-cultural study.

Authors:  Sofia Kanwal; Sohail Asghar; Akhtar Hussain; Adnan Rafique
Journal:  PLoS One       Date:  2022-03-17       Impact factor: 3.240

Review 10.  Good vibrations: A review of vocal expressions of positive emotions.

Authors:  Roza G Kamiloğlu; Agneta H Fischer; Disa A Sauter
Journal:  Psychon Bull Rev       Date:  2020-04
  10 in total

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