Imitation and recognition of facial emotions in autism: a computer vision approach / H. DRIMALLA in Molecular Autism, 12 (2021)  

Public ISBD [article]  inMolecular Autism > 12 (2021) . - 27 p. Titre : Imitation and recognition of facial emotions in autism: a computer vision approach Type de document : Texte imprimé et/ou numérique Auteurs : H. DRIMALLA, Auteur ; Irina BASKOW, Auteur ; B. BEHNIA, Auteur ; S. ROEPKE, Auteur ; I. DZIOBEK, Auteur Article en page(s) : 27 p. Langues : Anglais (eng) Mots-clés : Adult  Autistic Disorder/psychology  Emotions  Facial Expression  Female  Humans  Imitative Behavior  Male  Middle Aged  Recognition, Psychology  Signal Processing, Computer-Assisted  Young Adult  Autism  Automated analysis  Emotion recognition  Imitation Index. décimale : PER Périodiques Résumé : BACKGROUND: Imitation of facial expressions plays an important role in social functioning. However, little is known about the quality of facial imitation in individuals with autism and its relationship with defining difficulties in emotion recognition. METHODS: We investigated imitation and recognition of facial expressions in 37 individuals with autism spectrum conditions and 43 neurotypical controls. Using a novel computer-based face analysis, we measured instructed imitation of facial emotional expressions and related it to emotion recognition abilities. RESULTS: Individuals with autism imitated facial expressions if instructed to do so, but their imitation was both slower and less precise than that of neurotypical individuals. In both groups, a more precise imitation scaled positively with participants' accuracy of emotion recognition. LIMITATIONS: Given the study's focus on adults with autism without intellectual impairment, it is unclear whether the results generalize to children with autism or individuals with intellectual disability. Further, the new automated facial analysis, despite being less intrusive than electromyography, might be less sensitive. CONCLUSIONS: Group differences in emotion recognition, imitation and their interrelationships highlight potential for treatment of social interaction problems in individuals with autism. En ligne : http://dx.doi.org/10.1186/s13229-021-00430-0 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=459 [article] Imitation and recognition of facial emotions in autism: a computer vision approach [Texte imprimé et/ou numérique] / H. DRIMALLA, Auteur ; Irina BASKOW, Auteur ; B. BEHNIA, Auteur ; S. ROEPKE, Auteur ; I. DZIOBEK, Auteur . - 27 p. Langues : Anglais (eng) in Molecular Autism > 12 (2021) . - 27 p. Mots-clés : Adult  Autistic Disorder/psychology  Emotions  Facial Expression  Female  Humans  Imitative Behavior  Male  Middle Aged  Recognition, Psychology  Signal Processing, Computer-Assisted  Young Adult  Autism  Automated analysis  Emotion recognition  Imitation Index. décimale : PER Périodiques Résumé : BACKGROUND: Imitation of facial expressions plays an important role in social functioning. However, little is known about the quality of facial imitation in individuals with autism and its relationship with defining difficulties in emotion recognition. METHODS: We investigated imitation and recognition of facial expressions in 37 individuals with autism spectrum conditions and 43 neurotypical controls. Using a novel computer-based face analysis, we measured instructed imitation of facial emotional expressions and related it to emotion recognition abilities. RESULTS: Individuals with autism imitated facial expressions if instructed to do so, but their imitation was both slower and less precise than that of neurotypical individuals. In both groups, a more precise imitation scaled positively with participants' accuracy of emotion recognition. LIMITATIONS: Given the study's focus on adults with autism without intellectual impairment, it is unclear whether the results generalize to children with autism or individuals with intellectual disability. Further, the new automated facial analysis, despite being less intrusive than electromyography, might be less sensitive. CONCLUSIONS: Group differences in emotion recognition, imitation and their interrelationships highlight potential for treatment of social interaction problems in individuals with autism. En ligne : http://dx.doi.org/10.1186/s13229-021-00430-0 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=459

Small Semantic Networks in Individuals with Autism Spectrum Disorder Without Intellectual Impairment: A Verbal Fluency Approach / Felicitas EHLEN in Journal of Autism and Developmental Disorders, 50-11 (November 2020)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 50-11 (November 2020) . - p.3967-3987 Titre : Small Semantic Networks in Individuals with Autism Spectrum Disorder Without Intellectual Impairment: A Verbal Fluency Approach Type de document : Texte imprimé et/ou numérique Auteurs : Felicitas EHLEN, Auteur ; Stefan ROEPKE, Auteur ; Fabian KLOSTERMANN, Auteur ; Irina BASKOW, Auteur ; Pia GEISE, Auteur ; Cyril BELICA, Auteur ; Hannes Ole TIEDT, Auteur ; Behnoush BEHNIA, Auteur Article en page(s) : p.3967-3987 Langues : Anglais (eng) Mots-clés : Asd  Clusters  Mental lexicon  Verbal fluency  Wcc Index. décimale : PER Périodiques Résumé : Individuals with Autism Spectrum Disorder (ASD) experience a variety of symptoms sometimes including atypicalities in language use. The study explored differences in semantic network organisation of adults with ASD without intellectual impairment. We assessed clusters and switches in verbal fluency tasks ('animals', 'human feature', 'verbs', 'r-words') via curve fitting in combination with corpus-driven analysis of semantic relatedness and evaluated socio-emotional and motor action related content. Compared to participants without ASD (n?=?39), participants with ASD (n?=?32) tended to produce smaller clusters, longer switches, and fewer words in semantic conditions (no p values survived Bonferroni-correction), whereas relatedness and content were similar. In ASD, semantic networks underlying cluster formation appeared comparably small without affecting strength of associations or content. En ligne : http://dx.doi.org/10.1007/s10803-020-04457-9 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=432 [article] Small Semantic Networks in Individuals with Autism Spectrum Disorder Without Intellectual Impairment: A Verbal Fluency Approach [Texte imprimé et/ou numérique] / Felicitas EHLEN, Auteur ; Stefan ROEPKE, Auteur ; Fabian KLOSTERMANN, Auteur ; Irina BASKOW, Auteur ; Pia GEISE, Auteur ; Cyril BELICA, Auteur ; Hannes Ole TIEDT, Auteur ; Behnoush BEHNIA, Auteur . - p.3967-3987. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 50-11 (November 2020) . - p.3967-3987 Mots-clés : Asd  Clusters  Mental lexicon  Verbal fluency  Wcc Index. décimale : PER Périodiques Résumé : Individuals with Autism Spectrum Disorder (ASD) experience a variety of symptoms sometimes including atypicalities in language use. The study explored differences in semantic network organisation of adults with ASD without intellectual impairment. We assessed clusters and switches in verbal fluency tasks ('animals', 'human feature', 'verbs', 'r-words') via curve fitting in combination with corpus-driven analysis of semantic relatedness and evaluated socio-emotional and motor action related content. Compared to participants without ASD (n?=?39), participants with ASD (n?=?32) tended to produce smaller clusters, longer switches, and fewer words in semantic conditions (no p values survived Bonferroni-correction), whereas relatedness and content were similar. In ASD, semantic networks underlying cluster formation appeared comparably small without affecting strength of associations or content. En ligne : http://dx.doi.org/10.1007/s10803-020-04457-9 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=432

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