Parents’ Perceptions on Social Skills Functioning of Children with Autism Spectrum Disorder: A Preliminary Study

2018 ◽  
Vol 2 (4) ◽  
pp. 33-37
Author(s):  
Joanna Hie Ping Ting ◽  
Kee Jiar Yeo

Autism Spectrum Disorder (ASD) is defined as a neurodevelopmental disorder that affects social communication, social interaction and sensory sensitivities. Social skills are one of the common deficits displayed by children with ASD. However, the level of impairment exerted by children with ASD relies on the disorder severity. Social skills are critical to successful social-emotional, communication and cognitive development. Specific social skills deficits include difficulties in initiating interactions, maintaining social reciprocity, sharing attention, taking another person’s perspective, and inferring the interests of others. In this study, social skills consist of social awareness, social cognition, social communication, social motivation and autism mannerism. This study aimed to uncover the conceptualization of social skills from the parents’ perspective, thus providing an indication of education on the topic of ASD.

2021 ◽  
Author(s):  
Katherine Kuhl Meltzoff Stavropoulos ◽  
Elizabeth Baker

Autism spectrum disorder (ASD) is a neurodevelopmental disorder characterized by social-communication deficits and the presence of restricted interests and/or repetitive behaviors. There are currently no psychopharmacological agents approved to treat core symptoms of ASD. As such, behavioral interventions are the most effective method for improving symptoms. In the current chapter, we propose that administering the neuropeptide oxytocin in conjunction with evidence-based behavioral interventions may lead to improved outcomes in social-communication for children with ASD. From a mechanistic perspective, we hypothesize that oxytocin may “prime” social reward circuitry in the brain, thereby allowing behavioral interventions designed to increase social motivation/initiation to be more effective. Extant literature related to theories of ASD, oxytocin administration in children with ASD, and behavioral intervention outcomes are reviewed, and considerations for individual characteristics (e.g., genetics, oxytocin availability, age, behavioral profile, etc.) that may affect efficacy are discussed.


2021 ◽  
Author(s):  
YuRang Park ◽  
JooHyun Lee ◽  
TaeSeon Lee ◽  
SeungWoo Lee ◽  
JiHye Jang ◽  
...  

BACKGROUND Autism spectrum disorder (ASD) is characterized by abnormalities in social communication and limited and repetitive patterns of behavior. Children with autism spectrum disorder, who lack social communication skills, will eventually not interact with others and lack peer relationships compared to ordinary people. Thus, it is necessary to develop a program to improve social communication ability using digital technology for people with ASD. OBJECTIVE To develop and application a metaverse based child social skill training program. The program is to improve the social interaction ability of child with ASD in aged 7 to 12 years. To compare and analyze the biometric information collected through wearable device when applying the Metaverse based social skills training program to check the emotional changes of ASD children in stressful situations. METHODS This parallel randomized controlled study will be conducted on children aged 7 to 12 years who have been diagnosed with ASD. A metaverse-based social skills training program using digital technology will be administer to children, who voluntarily wished to participate in research and who obtained consent from their legal guardians. Treatment group will participate in the metaverse-based social skills training program developed by this research team once a week for 60 minutes per session for 4weeks. Control group will not intervene for the duration of the experiment. Treatment group will use wearable devices during the experiment to enable the collection of biometric information in real time. RESULTS The study is expected to recruit and enroll participants in November 2021. After registering the participants, the study will be conducted from January 2022 to April 2022. This research will be conducted jointly by Yonsei University and Dobrain Co., Ltd. Children participating in the program will use the online platform. CONCLUSIONS The metaverse-based PEERS program will also be effective in improving the social skills of children with ASD, similar to the offline PEERS program. The metaverse-based PEERS program offers excellent accessibility and low cost because it can be administered at home, and thus it is expected to be effective for many children with ASD. If a method can be applied to detect children's emotional changes early on by using biometric information collected through wearable devices, then the emotional changes like anxiety and anger can be alleviated in advance, reducing issues in children with ASD. CLINICALTRIAL Clinical Research Information Service KCT0006859; https://cris.nih.go.kr/cris/search/detailSearch.do?search_lang=E&search_page=M&pageSize=10&page=undefined&seq=20942&status=5&seq_group=20942


F1000Research ◽  
2021 ◽  
Vol 10 ◽  
pp. 1217
Author(s):  
Han Foon Neo ◽  
Chuan Chin Teo ◽  
Quan Fong Yeo

Autism spectrum disorder (ASD) is a lifelong neurodevelopmental disorder that affects brain development. The prevalence of ASD is one in 68 children. Low social motivation is the main cause in developing social communication skills deficiency. As a result, it is becoming difficult for them to express themselves, to be able to manage social interactions, and they lack the ability to comfort others and even share their own feelings. This study aimed to design a mobile application based on augmented reality (AR) focusing on social interactions and communication aspect for children with ASD. The scope is in emotion recognition, which makes use of emotional icons to help them improve their social skills, more specifically on helping them to recognize various emotions. The emotions are represented by emojis inspired by Dr. Paul Ekman who has created the basic six emotions, namely happiness, sadness, disgust, fear, surprise, and angry. Additional emotions such as confound face, winking with tongue, cold sweat, blowing kiss, flushed, sleepy, disappointed, and winking are included. AR is able to gage the children’s attention when they view the animated emojis. The application enables the children with ASD to be more willing in recognizing different emotional expressions and improve their social skills by expressing their own feelings. The scope of the study is limited to emotion recognition. It is developed based on literature reviews without guidance of any certified ASD specialist. AR is an interactive technology that places digital information in our physical world in real time, providing precise registration in all three dimensions. Existing literature proved that the traditional face-to-face teaching methods have failed to increase the interest and ability of ASD children because the teacher has full control in the classroom. This study adds value to the existing works to incorporate AR as additional intervention in treating ASD children.


Author(s):  
Wei-Ju Chen ◽  
Zihan Zhang ◽  
Haocen Wang ◽  
Tung-Sung Tseng ◽  
Ping Ma ◽  
...  

Background: Autism spectrum disorder (ASD) is a neurodevelopmental disorder characterized by social communication deficits and restricted or repetitive behaviors. Parental perceptions of the etiology of their child’s ASD can affect provider–client relationships, bonding between parents and their children, and the prognosis, treatment, and management of children with ASD. Thus, this study sought to examine the perceptions of ASD etiology of parents of children with ASD. Methods: Forty-two parents of children diagnosed with ASD were recruited across Texas. Semi-structured interviews were conducted individually. All interviews were recorded and later transcribed verbatim for content analysis utilizing NVivo 12.0 (QSR International, Doncaster, Australia). Results: The content analysis identified the following themes regarding parental perceptions of ASD etiology: Genetic factors (40.5%), environmental factors (31.0%), problems that occurred during pregnancy or delivery (23.8%), vaccinations (16.7%), other health problems (7.1%), parental age at the time of pregnancy (4.8%), and spiritual or religious factors (2.4%). Conclusions: The parental perceptions of ASD etiology were diverse, but several views, such as vaccinations and spiritual or religious factors, were not based on scientific evidence. Health professionals and researchers can use these findings to develop and provide targeted education to parents who have children with ASD. Our findings also support policymakers in developing campaigns designed to increase parental ASD awareness and knowledge.


2021 ◽  
Vol 5 (10) ◽  
pp. 57
Author(s):  
Vinícius Silva ◽  
Filomena Soares ◽  
João Sena Esteves ◽  
Cristina P. Santos ◽  
Ana Paula Pereira

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.


2021 ◽  
Vol 9 (F) ◽  
pp. 88-94
Author(s):  
Zainab Taha ◽  
Khalid A. Abdalhai

BACKGROUND: Autism spectrum disorder (ASD) is an early-onset neurodevelopmental disorder with 1 in 68 children prevalence. The key symptoms of ASD include social deficits, verbal and non-verbal communication deficits, and restricted, repetitive patterns of behavior, interests, or activities. For unknown reasons, gastrointestinal symptoms are related to ASD. The aim of the current paper is to review the available literature on dietary interventions in children with ASD and provide up-to-date evidence. METHODS: Searches in online databases, using the search terms’ dietary intervention, “autism spectrum disorders,” and “autism” were conducted. The search targeted publications ranging from 2010 to 2020. RESULTS: Twenty-six studies with different study designs which evaluated the effectiveness of specific dietary interventions in children with ASD were included in our review. Several dietary interventions were of popular practice in the management of children with ASD, including elimination (gluten-/casein-free diet and oligoantigenic diet), modification (modified ketogenic diet), supplementation (minerals, vitamins, omega 3, and omega 6), and exclusion (food additives). Studies showed different results with varying degrees of evidence. Overall, data were inadequate to make accurate conclusions. CONCLUSION: There is little evidence to support the use of dietary interventions for children with ASD. Additional high-quality studies and further research are, therefore, needed.


Author(s):  
Julie E. N. Irish

This chapter considers whether a computer-aided technology, single-user virtual environments, can provide a viable option to teach social skills to children with Autism Spectrum Disorder (ASD). Viability is discussed in terms of key themes found in the literature: evidence-basis, generalizability, cost effectiveness, appropriateness for children with ASD, user experience, teacher’s contribution, and usefulness for caregivers. A matrix is developed to provide a viability rating for each theme. The chapter concludes that evidence-basis and generalizability for single-user virtual environments as an intervention to teach social skills to children with autism spectrum disorder is weak but that cost effectiveness, appropriateness to teenage children with ASD, positive experience of the user, and potential usefulness for caregivers is strong, whilst the teacher’s contribution is a mixed rating between ease of use for the teacher and the high one-on-one time commitment required.


2018 ◽  
Vol 8 (2) ◽  
pp. 95
Author(s):  
Joshua L. Haworth ◽  
Klaus Libertus ◽  
Rebecca J. Landa

Anticipatory looking in the context of goal-directed actions emerges during the first year of life. However, children with autism spectrum disorder (ASD) often show diminished social gaze and anticipation while observing goal-directed actions. The current study examined a therapist-mediated social intervention targeting action-anticipation, goal-extraction, and social gaze in 18 children with ASD diagnosis. Before and after the intervention period, children viewed a video displaying a toddler repeatedly placing blocks into a bowl using a cross-body motion. Gaze to the actor’s face and anticipatory gaze to the goal location were analyzed. Results revealed that young children with ASD understand repeated actions and demonstrate goal-extraction even before exposure to the intervention. Further, targeted social intervention experience led to a redistribution of attention in favor of the actor’s face, while retaining action intention comprehension of the block transfer activity. Attention to social aspects during action observation by children with ASD could have favorable cascading effects on social reciprocity, social contingency, and theory of mind development.


Medicina ◽  
2019 ◽  
Vol 55 (8) ◽  
pp. 440 ◽  
Author(s):  
Joan DiPietro ◽  
Arpad Kelemen ◽  
Yulan Liang ◽  
Cecilia Sik-Lanyi

Background and objectives: Children with autism spectrum disorder (ASD) experience challenges with social interactions, a core feature of the disorder. Social skills therapy has been shown to be helpful. Over the past several years, computer-assisted and robot-assisted therapies have been infiltrating the social skills teaching environment. Rapid progress in the field of technology, especially in the robotics area, offers tremendous possibilities for innovation and treatment or even education for individuals with ASD. This paper’s purpose is to drive awareness of these innovative interventions in order to support the social lives of children with ASD. The aims of the paper are identifying (1) the types of Information Technology platforms that are being evaluated in computer and robot-assisted therapies for children with ASD; (2) the various disciplines or professions studying and utilizing these computer and robot-assisted social skill therapies; (3) the outcomes being evaluated in each trial; and (4) if results demonstrate benefits to children with autism. Materials and Methods: PubMed, CINAHL, Science Direct, and Web of Science databases were searched for clinical trials published over the past five years. Search terms incorporated the subject intersection of autism, and computer or robot-assisted therapy. Results were mined for pediatric populations only and study designs establishing controlled comparisons. Results: Eighteen unique international studies were identified that utilize robot interventions (11 studies) and serious computer game interventions (seven studies). Most demonstrated promising results in improving outcomes for children with ASD. Study implications reveal a rapidly evolving assistive technology for ASD social skills therapy. Conclusions: These interventions show considerable promise, but more effectiveness and cost effectiveness research of high quality should be carried out with larger numbers of children. Also, further studies are necessary to evaluate these technologies’ effectiveness amongst adults with ASD and within unique subsets of the higher functioning autism population.


2017 ◽  
Vol 32 (3-4) ◽  
pp. 265-281 ◽  
Author(s):  
Nathalie Berard ◽  
Lynn Loutzenhiser ◽  
Phillip R. Sevigny ◽  
Dennis P. Alfano

Autism Spectrum Disorder (ASD) is an aetiologically complex neurodevelopmental disorder characterized by deficits in social functioning. Children with ASD display a wide range of social competence and more variability in social domains as compared with either communication or repetitive behaviour domains. There is limited understanding of factors that contribute to the heterogeneity of social abilities in ASD. A modified version of McKown and colleagues’ social competence model was used to examine social competence in 49 8- to 13-year-old boys with ASD without cognitive disability. The relations between executive function (EF), social emotional learning (SEL), and parent reports of child social competence were examined. Results showed that EF but not SEL predicted parent-reported child social competence. Although many interventions target SEL skills, these findings support specifically targeting EF in both assessment and interventions of school-aged children with ASD.


Sign in / Sign up

Export Citation Format

Share Document