Literature DB >> 18986066

Role of biological-motion information in recognition of facial expressions by young children.

Hirokazu Doi1, Akemi Kato, Ai Hashimoto, Nobuo Masataka.   

Abstract

Data on the development of the perception of facial biological motion during preschool years are disproportionately scarce. We investigated the ability of preschoolers to recognise happy, angry, and surprised expressions, and eye-closing facial movements on the basis of facial biological motion. Children aged 4 years (n = 18) and 5-6 years (n = 19), and adults (n = 17) participated in a matching task, in which they were required to match the point-light displays of facial expressions to prototypic schematic images of facial expressions and facial movement. The results revealed that the ability to recognise facial expressions from biological motion emerges as early as the age of 4 years. This ability was evident for happy expressions at the age of 4 years; 5-6-year-olds reliably recognised surprised as well as happy expressions. The theoretical significances of these findings are discussed.

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Year:  2008        PMID: 18986066     DOI: 10.1068/p5673

Source DB:  PubMed          Journal:  Perception        ISSN: 0301-0066            Impact factor:   1.490


  4 in total

1.  Recognition of facial expressions and prosodic cues with graded emotional intensities in adults with Asperger syndrome.

Authors:  Hirokazu Doi; Takashi X Fujisawa; Chieko Kanai; Haruhisa Ohta; Hideki Yokoi; Akira Iwanami; Nobumasa Kato; Kazuyuki Shinohara
Journal:  J Autism Dev Disord       Date:  2013-09

2.  Ties between reading faces, bodies, eyes, and autistic traits.

Authors:  Marina A Pavlova; Valentina Romagnano; Julian Kubon; Sara Isernia; Andreas J Fallgatter; Alexander N Sokolov
Journal:  Front Neurosci       Date:  2022-09-28       Impact factor: 5.152

3.  Prenatal exposure to a polychlorinated biphenyl (PCB) congener influences fixation duration on biological motion at 4-months-old: a preliminary study.

Authors:  Hirokazu Doi; Shota Nishitani; Takashi X Fujisawa; Tomoko Nagai; Masaki Kakeyama; Takahiro Maeda; Kazuyuki Shinohara
Journal:  PLoS One       Date:  2013-03-28       Impact factor: 3.240

4.  Brain function distinguishes female carriers and non-carriers of familial risk for autism.

Authors:  Adam T Eggebrecht; Ally Dworetsky; Zoë Hawks; Rebecca Coalson; Babatunde Adeyemo; Savannah Davis; Daniel Gray; Alana McMichael; Steven E Petersen; John N Constantino; John R Pruett
Journal:  Mol Autism       Date:  2020-10-20       Impact factor: 7.509

  4 in total

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