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Mapping 24 emotions conveyed by brief human vocalization.

Alan S Cowen1, Hillary Anger Elfenbein2, Petri Laukka3

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Summary
This summary is machine-generated.

Human vocalizations express at least 24 distinct emotions, organized by emotion categories rather than valence or arousal. Emotion recognition from vocal bursts is continuous, not discrete, forming a semantic space.

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Area of Science:

  • Psychology
  • Linguistics
  • Acoustics

Background:

  • Emotional vocalizations are crucial for human social interaction.
  • Previous research identified recognition of at least 13 emotions in vocalizations.
  • Understanding the semantic structure of vocal emotion expression is limited.

Purpose of the Study:

  • To investigate the structure of emotion recognition in vocalizations.
  • To determine the number of distinct emotions conveyed by vocal bursts.
  • To explore whether emotion categories or affective appraisals organize recognition.

Main Methods:

  • Large-scale data collection and analysis of emotional vocal bursts.
  • Judgments of 2,032 laboratory-produced and 48 real-world vocalizations.
  • Application of a new theoretical approach to emotion taxonomies.

Main Results:

  • Vocal bursts convey at least 24 distinct kinds of emotion.
  • Emotion categories (e.g., sympathy, awe) primarily organize recognition over affective appraisals (valence, arousal).
  • Emotion recognition is continuous, with smooth gradients, contradicting discrete emotion theories.

Conclusions:

  • Vocal emotion expression is more complex than previously understood, encompassing at least 24 categories.
  • Emotion categories are the primary organizers of vocal emotion recognition.
  • A continuous semantic space, visualized in an interactive map, represents vocal emotion expression.