scholarly journals No Differences in Emotion Recognition Strategies in Children with Autism Spectrum Disorder: Evidence from Hybrid Faces

2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Kris Evers ◽  
Inneke Kerkhof ◽  
Jean Steyaert ◽  
Ilse Noens ◽  
Johan Wagemans
Keyword(s):  
Autism Spectrum Disorder ◽  
Emotion Recognition ◽  
Facial Expressions ◽  
Research Area ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Correct Identification ◽  
Face Region ◽  
Processing Strategies ◽  
Neutral Expression

Emotion recognition problems are frequently reported in individuals with an autism spectrum disorder (ASD). However, this research area is characterized by inconsistent findings, with atypical emotion processing strategies possibly contributing to existing contradictions. In addition, an attenuated saliency of the eyes region is often demonstrated in ASD during face identity processing. We wanted to compare reliance on mouth versus eyes information in children with and without ASD, using hybrid facial expressions. A group of six-to-eight-year-old boys with ASD and an age- and intelligence-matched typically developing (TD) group without intellectual disability performed an emotion labelling task with hybrid facial expressions. Five static expressions were used: one neutral expression and four emotional expressions, namely, anger, fear, happiness, and sadness. Hybrid faces were created, consisting of an emotional face half (upper or lower face region) with the other face half showing a neutral expression. Results showed no emotion recognition problem in ASD. Moreover, we provided evidence for the existence of top- and bottom-emotions in children: correct identification of expressions mainly depends on information in the eyes (so-called top-emotions: happiness) or in the mouth region (so-called bottom-emotions: sadness, anger, and fear). No stronger reliance on mouth information was found in children with ASD.

scholarly journals Fostering Emotion Recognition in Children with Autism Spectrum Disorder

2021 ◽  
Vol 5 (10) ◽  
pp. 57
Author(s):  
Vinícius Silva ◽  
Filomena Soares ◽  
João Sena Esteves ◽  
Cristina P. Santos ◽  
Ana Paula Pereira
Keyword(s):  
Autism Spectrum Disorder ◽  
Social Interaction ◽  
Emotion Recognition ◽  
Facial Expressions ◽  
Social Communication ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Support Vector ◽  
Robotic Platform ◽  
Children With Asd

Facial expressions are of utmost importance in social interactions, allowing communicative prompts for a speaking turn and feedback. Nevertheless, not all have the ability to express themselves socially and emotionally in verbal and non-verbal communication. In particular, individuals with Autism Spectrum Disorder (ASD) are characterized by impairments in social communication, repetitive patterns of behaviour, and restricted activities or interests. In the literature, the use of robotic tools is reported to promote social interaction with children with ASD. The main goal of this work is to develop a system capable of automatic detecting emotions through facial expressions and interfacing them with a robotic platform (Zeno R50 Robokind® robotic platform, named ZECA) in order to allow social interaction with children with ASD. ZECA was used as a mediator in social communication activities. The experimental setup and methodology for a real-time facial expression (happiness, sadness, anger, surprise, fear, and neutral) recognition system was based on the Intel® RealSense™ 3D sensor and on facial features extraction and multiclass Support Vector Machine classifier. The results obtained allowed to infer that the proposed system is adequate in support sessions with children with ASD, giving a strong indication that it may be used in fostering emotion recognition and imitation skills.

scholarly journals Parents’ impaired emotion recognition abilities are related to children’s autistic symptoms in autism spectrum disorder

2018 ◽  
Vol Volume 14 ◽  
pp. 2973-2980 ◽  
Author(s):  
Xiao Hu ◽  
Li Yin ◽  
Mingjing Situ ◽  
Kuifang Guo ◽  
Pingyuan Yang ◽  
...  
Keyword(s):  
Autism Spectrum Disorder ◽  
Emotion Recognition ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Autistic Symptoms

scholarly journals The relations between processing style, autistic-like traits, and emotion recognition in individuals with and without Autism Spectrum Disorder

2018 ◽  
Vol 120 ◽  
pp. 1-6 ◽  
Author(s):  
Karen McKenzie ◽  
Aja Louise Murray ◽  
Andrew Wilkinson ◽  
George C. Murray ◽  
Dale Metcalfe ◽  
...  
Keyword(s):  
Autism Spectrum Disorder ◽  
Emotion Recognition ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Processing Style

scholarly journals Distance to the Neutral Face Predicts Arousal Ratings of Dynamic Facial Expressions in Individuals With and Without Autism Spectrum Disorder

2020 ◽  
Vol 11 ◽  
Author(s):  
Jan N. Schneider ◽  
Timothy R. Brick ◽  
Isabel Dziobek
Keyword(s):  
Autism Spectrum Disorder ◽  
Facial Expressions ◽  
Average Distance ◽  
Autistic Traits ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Movement Speed ◽  
Emotional States ◽  
Static Information ◽  
Neutral Face

Arousal is one of the dimensions of core affect and frequently used to describe experienced or observed emotional states. While arousal ratings of facial expressions are collected in many studies it is not well understood how arousal is displayed in or interpreted from facial expressions. In the context of socioemotional disorders such as Autism Spectrum Disorder, this poses the question of a differential use of facial information for arousal perception. In this study, we demonstrate how automated face-tracking tools can be used to extract predictors of arousal judgments. We find moderate to strong correlations among all measures of static information on one hand and all measures of dynamic information on the other. Based on these results, we tested two measures, average distance to the neutral face and average facial movement speed, within and between neurotypical individuals (N = 401) and individuals with autism (N = 19). Distance to the neutral face was predictive of arousal in both groups. Lower mean arousal ratings were found for the autistic group, but no difference in correlation of the measures and arousal ratings could be found between groups. Results were replicated in an high autistic traits group. The findings suggest a qualitatively similar perception of arousal for individuals with and without autism. No correlations between valence ratings and any of the measures could be found, emphasizing the specificity of our tested measures. Distance and speed predictors share variability and thus speed should not be discarded as a predictor of arousal ratings.

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