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Emotion recognition, one key aspect of emotion reasoning, is crucial to socioemotional development in childhood. While much developmental research has focused on facial emotion recognition, studies on the recognition of emotions conveyed through vocal bursts remain relatively scarce, despite the voice being one of the primary channels for conveying emotion. To address this gap, we investigated (a) how recognition accuracy across six well-studied emotions in vocal bursts changes between the ages of 5 and 8 (N = 162, 47.53% girls and 52.47% boys), (b) whether gender moderates the developmental trajectories of recognition accuracy (both overall and at the level of distinct emotions), and (c) whether recognition accuracy predicts socioemotional functioning concurrently and longitudinally. Our findings revealed that recognition accuracy was highest for happiness and lowest for fear and that accuracy improved with age for all emotions except for happiness, which was positively associated with age at a marginal level. While younger girls (compared with boys) were better at recognizing emotions, this difference disappeared by age 8. This same pattern was observed for sadness and anger at the level of distinct emotions. The capacity to recognize emotion in vocal bursts did not correlate with caregivers' perceptions of children's emotional symptoms or hyperactivity. However, it predicted a lower likelihood of conduct problems and a higher tendency toward prosocial behavior concurrently, with the latter effect staying significant longitudinally. These findings contribute to a deeper understanding of emotion recognition beyond the face and its implications for children's socioemotional adjustment. (PsycInfo Database Record (c) 2025 APA, all rights reserved).
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http://dx.doi.org/10.1037/dev0001949 | DOI Listing |
Disabil Rehabil Assist Technol
September 2025
School of Drama, Film and Television, Shenyang Conservatory of Music, Shenyang, China.
This study examines how choral singing functions as a mechanism for sustaining ritual practice and reinforcing cultural identity. By integrating perspectives from musicology, social psychology, and cognitive science, it explores how collective vocal performance supports emotional attunement, group cohesion, and symbolic memory in culturally diverse contexts. A mixed-methods approach was applied, combining ethnographic observation, survey-based data, and cognitive measures with AI-informed frameworks such as voice emotion recognition and neural synchrony modeling.
View Article and Find Full Text PDFPLoS One
September 2025
Department of Psychology & Sociology, Texas A&M University - Corpus Christi, Corpus Christi, Texas, United States of America.
While the use of personal protective equipment protects healthcare workers against transmissible disease, it also obscures the lower facial regions that are vital for transmitting emotion signals. Previous studies have found that face coverings can impair recognition of emotional expressions, particularly those that rely on signals from the lower regions of the face, such as disgust. Recent research on the individual differences that may influence expression recognition, such as emotional intelligence, has shown mixed results.
View Article and Find Full Text PDFMetab Brain Dis
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Department of Neuroscience, Faculty of Advanced Medical Sciences, Tabriz University of Medical Sciences, Tabriz, Iran.
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Cukurova State Hospital, Adana, Turkey.
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View Article and Find Full Text PDFComput Biol Med
September 2025
Postgraduate Program in Computing, Center for Technological Development, Federal University of Pelotas, Pelotas, 96010-610, Rio Grande do Sul, Brazil.
In the task of image classification for emotion recognition, facial expression data is commonly used. However, electrical brain signals generated by neural activity provide data with greater integrity. We can capture these signals non-invasively using electroencephalogram (EEG) recording devices.
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