Autism, Expression, and Understanding of Emotions: Literature Review

Chaidi, Irene; Drigas, Athanasios

doi:10.3991/ijoe.v16i02.11991

Cited by 36 publications

(37 citation statements)

References 71 publications

(98 reference statements)

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“…Familiar people have major difficulties in recognizing, understanding and expressing emotions, tend to avoid interpersonal relationships and do not want to communicate with other people. The aim of the research conducted by Haidi and Drigas (2020) is to investigate the way of expression and understanding of human emotions by people belonging to the spectrum, as well as to investigate the way of education of people with autism in terms of recognition, expression and understanding of emotions (Chaidi & Drigas, 2020).…”

Section: Emotional Intelligence In Autismmentioning

confidence: 99%

Emotional Intelligence in Autism

Drigas

Sideraki

2021

TSSJ

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Emotional intelligence is a term, which includes various abilities and skills, which enable a person to perceive and handle emotional situations both his own and those of other individuals with the aim of his social and personal development. More specifically, the first part of this work presents an analysis of the role of emotional intelligence in the individual. Then, the 8 pillars of metcognition are mentioned, the role of humor in EI, taking distances with the help of EI, the correlation with hormones, the mindfulness model, the new layered model on EI, and the EI in gifted individual. In the second part, the literature review focuses on the role of EI in autism, the views of Kanner and Aspenger, the expression and understanding of emotions of people with ASD through EI, the mindfulness and the use of robots in autism.

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Section: Emotional Intelligence In Autismmentioning

confidence: 99%

Emotional Intelligence in Autism

Drigas

Sideraki

2021

TSSJ

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“…Thabtah dissected limitations related to testing reads that embraced ML for ASD classification [13][14][15]. The goal of [36] is through a literature survey: a) To outline the emotional turn of events and instruction of people on the range b) To present the discoveries of examinations c) To present and raise key worries about the emotional intelligence of kids range of autism d) Bring up issues about the advancement of instructive techniques pointed toward improving the emotional improvement of people in the autism range and subsequently the advancement of social sentiments their maternal aptitudes [37] gives a brief & agent depiction of the job that artificial intelligence plays these days at the evaluation of autism. [38] features the point-by-point research occurred between 2010 -2020, while looking at the effect of robots on medically introverted kids through their connection, utilization of craftsmanship, programming, etc.…”

Section: Literature Reviewmentioning

confidence: 99%

A Machine Learning Way to Classify Autism Spectrum Disorder

Sujatha

Chatterjee³

et al. 2021

Int. J. Emerg. Technol. Learn.

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In recent times Autism Spectrum Disorder (ASD) is picking up its force quicker than at any other time. Distinguishing autism characteristics through screening tests is over the top expensive and tedious. Screening of the same is a challenging task, and classification must be conducted with great care. Machine Learning (ML) can perform great in the classification of this problem. Most researchers have utilized the ML strategy to characterize patients and typical controls, among which support vector machines (SVM) are broadly utilized. Even though several studies have been done utilizing various methods, these investigations didn't give any complete decision about anticipating autism qualities regarding distinctive age groups. Accordingly, this paper plans to locate the best technique for ASD classi-fication out of SVM, K-nearest neighbor (KNN), Random Forest (RF), Naïve Bayes (NB), Stochastic gradient descent (SGD), Adaptive boosting (AdaBoost), and CN2 Rule Induction using 4 ASD datasets taken from UCI ML repository. The classification accuracy (CA) we acquired after experimentation is as follows: in the case of the adult dataset SGD gives 99.7%, in the adolescent dataset RF gives 97.2%, in the child dataset SGD gives 99.6%, in the toddler dataset Ada-Boost gives 99.8%. Autism spectrum quotients (AQs) varied among several sce-narios for toddlers, adults, adolescents, and children that include positive predic-tive value for the scaling purpose. AQ questions referred to topics about attention to detail, attention switching, communication, imagination, and social skills.

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“…In the domain of education and health for special needs students, more specifically for children with Autism Spectrum Disorder (ASD), mobile technology would strongly benefit them due to many reasons that discussed in the next chapters. (ASD) uses a wide scope of conditions that are characterized by social deficits, communication difficulties, and repetitive behaviors and to a smaller extent, cognitive delays [1] (ASD) is a cognitive disorder which is characterized by impaired communication, creative impairment, and sensory sensitivities or a pervasive development disorder [2] [3]. Autism affects how a person interacts and relates to other individuals.…”

Section: Introductionmentioning

confidence: 99%

Usability Evaluation and User Acceptance of Mobile Applications for Saudi Autistic Children

Ghabban

Hajjar

Alharbi

2021

Int. J. Interact. Mob. Technol.

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<p class="Body">The evolution of mobile technologies in learning, has been increased the requirements for developing appropriate usability model to fall into the same line with mobile learning applications. Usability of mobile learning applications is a topic that is into research, this paper focuses a tailored designed model called (M-UTUAT) mobile usability model that combines People at the Centre of Mobile Application Development (PACMAD) and the unified theory of acceptance and use of technology (UTAUT) to form a more robust model. As an addition to the usability research, an application (ICT) was developed for children with speech delays and children diagnosed with autism spectrum. The application is a mobile/tablet-based application that developed according to mobile usability measures to get the maximum learning skills and abilities to help autistic children. It has been designed according to the needs of the children specific to their category and skills. The autism spectrum is a broad spectrum with high and low disabilities. The application consists of both visual and audio aids to help children feel comfortable and associate objects more easily with their original meaning and connections. (PECS) is one of the most common techniques that have been clinically proven to be effective in such cases. This application helped an individual with autism spectrum as well as children with speech delays or disabilities to communicate and correlate faster and easily. The application can help so many families by constructing a more communicative path for people with disabilities. The application is innovative that it developed in the Arabic language to serve Arabic learners as most of the autistic applications available serve English learners. Results gathered after questionnaire highlight the usability issues with the (ICT) application. We developed an app to overcome usability issues.</p>

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Autism, Expression, and Understanding of Emotions: Literature Review

Cited by 36 publications

References 71 publications

Emotional Intelligence in Autism

Emotional Intelligence in Autism

A Machine Learning Way to Classify Autism Spectrum Disorder

Usability Evaluation and User Acceptance of Mobile Applications for Saudi Autistic Children

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