Title |
Differences in Action Style Recognition in Children with Autism Spectrum Disorders
|
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Published in |
Frontiers in Psychology, September 2017
|
DOI | 10.3389/fpsyg.2017.01456 |
Pubmed ID | |
Authors |
Giuseppe Di Cesare, Laura Sparaci, Annalisa Pelosi, Luigi Mazzone, Giulia Giovagnoli, Deny Menghini, Emanuele Ruffaldi, Stefano Vicari |
Abstract |
Vitality form is a term, originally introduced by Stern (2010), to describe "how" an action is performed. The capacity to perceive the vitality form of others' actions is a fundamental element of social interactions and a basic way of relating to and understanding others' behaviors. Although vitality forms characterize all human interactions, few studies have addressed their role in social and communicative disorders such as autism. The aim of the present study is to evaluate the ability to recognize different vitality forms during the observation of different motor actions in a group of children with autism spectrum disorders (ASD) compared to typically developing controls (TD). Results show a significant difference between children with ASD and TD in vitality forms recognition. This finding sheds new light on how children with ASD understand others' actions providing new ideas on overall social understanding as well as useful insights for professionals and caregivers alike. |
X Demographics
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Italy | 2 | 29% |
Switzerland | 1 | 14% |
Germany | 1 | 14% |
Unknown | 3 | 43% |
Demographic breakdown
Type | Count | As % |
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Scientists | 4 | 57% |
Members of the public | 3 | 43% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 53 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Bachelor | 8 | 15% |
Researcher | 7 | 13% |
Student > Ph. D. Student | 5 | 9% |
Student > Master | 5 | 9% |
Student > Doctoral Student | 2 | 4% |
Other | 6 | 11% |
Unknown | 20 | 38% |
Readers by discipline | Count | As % |
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Psychology | 17 | 32% |
Neuroscience | 3 | 6% |
Agricultural and Biological Sciences | 2 | 4% |
Arts and Humanities | 2 | 4% |
Computer Science | 2 | 4% |
Other | 4 | 8% |
Unknown | 23 | 43% |