Body Emotion Recognition Disproportionately Depends on Vertical Orientations during Childhood

Autor/inn/en	Balas, Benjamin; Auen, Amanda; Saville, Alyson; Schmidt, Jamie
Titel	Body Emotion Recognition Disproportionately Depends on Vertical Orientations during Childhood
Quelle	In: International Journal of Behavioral Development, 42 (2018) 2, S.278-283 (6 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0165-0254
DOI	10.1177/0165025417690267
Schlagwörter	Nonverbal Communication; Emotional Response; Recognition (Psychology); Learning Processes; Children; Human Body; Visual Stimuli; Task Analysis; Classification; Statistical Analysis; Age Differences; Computer Assisted Testing; North Dakota + Suchen Sie Ihr Suchwort? Non-verbal communication; Nonverbale Kommunikation; Emotionales Verhalten; Recognition; Wiedererkennen; Learning process; Lernprozess; Child; Kind; Kinder; Menschlicher Körper; Aufgabenanalyse; Classification system; Klassifikation; Klassifikationssystem; Statistische Analyse; Age; Difference; Age difference; Altersunterschied
Abstract	Children's ability to recognize emotional expressions from faces and bodies develops during childhood. However, the low-level features that support accurate body emotion recognition during development have not been well characterized. This is in marked contrast to facial emotion recognition, which is known to depend upon specific spatial frequency and orientation sub-bands during adulthood, biases that develop during childhood. Here, we examined whether children's reliance on vertical vs. horizontal orientation energy for recognizing emotional expressions in static images of bodies changed during middle childhood (5 to 10 years old). We found that while children of all ages had an adult-like bias favoring vertical orientation energy, this effect was larger at younger ages. We conclude that in terms of information use, a key feature of the development of emotion recognition is improved performance with sub-optimal features for recognition--that is, learning to use less diagnostic features of the image is a slower process than learning to use more useful features. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01