[article] 
inResearch in Autism Spectrum Disorders > 8-8 (August 2014) . - p.944-950

Titre :	Computer-based intervention for inferring facial expressions from the socio-emotional context in two children with autism spectrum disorders
Type de document :	Texte imprimé et/ou numérique
Auteurs :	Soichiro MATSUDA, Auteur ; Junichi YAMAMOTO, Auteur
Article en page(s) :	p.944-950
Langues :	Anglais (eng)
Mots-clés :	Facial expressions  Autism  Matching-to-sample  Socio-emotional situations  Emotion recognition
Index. décimale :	PER Périodiques
Résumé :	Abstract Difficulties in understanding others’ emotions have been widely reported in autism spectrum disorders (ASDs). Many methodologies for evaluating the emotion recognition can be analyzed by matching-to-sample (MTS) procedures. When using movies of socio-emotional situations as sample stimuli, children with ASD have been found to have difficulties in understanding them. Furthermore, there are few intervention studies that have targeted understanding of socio-emotional situations in children with ASD. The present study examined whether two young children with ASD can acquire the relationships between movies of socio-emotional situations and pictures of facial expressions through computer-based MTS training. The movies of situations and pictures of facial expressions represented happy, surprised, angry and sad emotions. The child with ASD was required to select the picture of facial expression when presented with the movie of socio-emotional situations as a sample stimulus, and if so, whether these skills can be generalized to untrained stimuli. We used a multiple baseline design across participants, and the results demonstrated that both children learned the relationships and improved their performance with untrained stimuli. These findings are discussed in terms of procedures to increase the understanding of others’ emotions at an early developmental stage.
En ligne :	http://dx.doi.org/10.1016/j.rasd.2014.04.010
Permalink :	https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=233

[article] Computer-based intervention for inferring facial expressions from the socio-emotional context in two children with autism spectrum disorders [Texte imprimé et/ou numérique] / Soichiro MATSUDA, Auteur ; Junichi YAMAMOTO, Auteur . - p.944-950.
Langues : Anglais (eng)
in Research in Autism Spectrum Disorders > 8-8 (August 2014) . - p.944-950

Mots-clés :	Facial expressions  Autism  Matching-to-sample  Socio-emotional situations  Emotion recognition
Index. décimale :	PER Périodiques
Résumé :	Abstract Difficulties in understanding others’ emotions have been widely reported in autism spectrum disorders (ASDs). Many methodologies for evaluating the emotion recognition can be analyzed by matching-to-sample (MTS) procedures. When using movies of socio-emotional situations as sample stimuli, children with ASD have been found to have difficulties in understanding them. Furthermore, there are few intervention studies that have targeted understanding of socio-emotional situations in children with ASD. The present study examined whether two young children with ASD can acquire the relationships between movies of socio-emotional situations and pictures of facial expressions through computer-based MTS training. The movies of situations and pictures of facial expressions represented happy, surprised, angry and sad emotions. The child with ASD was required to select the picture of facial expression when presented with the movie of socio-emotional situations as a sample stimulus, and if so, whether these skills can be generalized to untrained stimuli. We used a multiple baseline design across participants, and the results demonstrated that both children learned the relationships and improved their performance with untrained stimuli. These findings are discussed in terms of procedures to increase the understanding of others’ emotions at an early developmental stage.
En ligne :	http://dx.doi.org/10.1016/j.rasd.2014.04.010
Permalink :	https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=233