ArticleThe American psychologist2019
Mapping 24 emotions conveyed by brief human vocalization.
Article in The American psychologist, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.
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Who cites it
51 citing papers in PubMed.
- Emotion profile: A data-driven method to dissect context-specific and co-occurring patterns of emotion.Behavior research methods · 2026Article
- Intelligent generation of product bionic image forms via multimodal emotion-weighted quantification.Scientific reports · 2026Article
- Multimodal semantic knowledge of emotion concepts in frontotemporal dementia.medRxiv : the preprint server for health sciences · 2026Article
- Beyond Valence and Arousal: Distributed Facial Patterns Linked to Specific Emotions Cannot be Reduced to Core Affect.Affective science · 2025Article
- Investigating the Structure of Emotion: Tools, Pitfalls and Recommendations.Affective science · 2025Article
- Affective information modulates slow-wave- and arousal-like responses during NREM sleep.Communications biology · 2025Article
- Body maps of sound pitch and relevant individual differences in alexithymic trait and depressive state.BMC psychology · 2025Article
- Object representations drive emotion schemas across a large and diverse set of daily-life scenes.Communications biology · 2025Article
- Development and validation of the Interoceptive States Vocalisations (ISV) and Interoceptive States Point Light Displays (ISPLD) databases.Behavior research methods · 2025Article
- Multicomponent approach reveals differences in affective responses among children and adolescents.Scientific reports · 2025Article
- Enhancing Emotional Intelligence in Autism Spectrum Disorder Through Intervention: A Systematic Review.European journal of investigation in health, psychology and education · 2025Review
- Article
- The Expanded Natural History of Song Discography, A Global Corpus of Vocal Music.Open mind : discoveries in cognitive science · 2025Article
- Article
- Naturalistic multimodal emotion data with deep learning can advance the theoretical understanding of emotion.Psychological research · 2024Review
- Neural Representations of Emotions in Visual, Auditory, and Modality-Independent Regions Reflect Idiosyncratic Conceptual Knowledge.Human brain mapping · 2024Article
- Temporal dynamics of uncertainty and prediction error in musical improvisation across different periods.Scientific reports · 2024Article
- Emotional palette: a computational mapping of aesthetic experiences evoked by visual art.Scientific reports · 2024Article
- Social media emotions annotation guide (SMEmo): Development and initial validity.Behavior research methods · 2024Article
- Sounds like a fight: listeners can infer behavioural contexts from spontaneous nonverbal vocalisations.Cognition & emotion · 2024Article
Corrections and comments
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4 authors.
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Abstract
Emotional vocalizations are central to human social life. Recent studies have documented that people recognize at least 13 emotions in brief vocalizations. This capacity emerges early in development, is preserved in some form across cultures, and informs how people respond emotionally to music. What is poorly understood is how emotion recognition from vocalization is structured within what we call a semantic space, the study of which addresses questions critical to the field: How many distinct kinds of emotions can be expressed? Do expressions convey emotion categories or affective appraisals (e.g., valence, arousal)? Is the recognition of emotion expressions discrete or continuous? Guided by a new theoretical approach to emotion taxonomies, we apply large-scale data collection and analysis techniques to judgments of 2,032 emotional vocal bursts produced in laboratory settings (Study 1) and 48 found in the real world (Study 2) by U.S. English speakers (N = 1,105). We find that vocal bursts convey at least 24 distinct kinds of emotion. Emotion categories (sympathy, awe), more so than affective appraisals (including valence and arousal), organize emotion recognition. In contrast to discrete emotion theories, the emotion categories conveyed by vocal bursts are bridged by smooth gradients with continuously varying meaning. We visualize the complex, high-dimensional space of emotion conveyed by brief human vocalization within an online interactive map. (PsycINFO Database Record (c) 2019 APA, all rights reserved).
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