Mobile Tutoring System in Facial Expression Perception and Production for Children with Autism Spectrum Disorder

Anishchenko, Sergey; Sarelaynen, Alexandra; Kalinin, Konstantin; Popova, Anastasia; Malygina-Lastovka, Natalia; Mesnyankina, Kira

doi:10.5220/0006146003190324

Cited by 5 publications

(12 citation statements)

References 9 publications

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“…The residual four studies have only three participants (25, 28,29). Only three papers mention the gender of their participants (26,27,29), and males predominated by a factor of three to one. The mean age of participants in the selected studies is 6 years and 5 months (ranging from a 3-year-old to a 13-year-old).…”

Section: Characteristics Of Participantsmentioning

confidence: 99%

“…As displayed in Table 2, overall, 83.3% of studies provided findings of app, framework, and conceptual design, as well as user studies (26)(27)(28)(29)(30). All of the included studies demonstrated an increase in participants' capacity to identify and recognize emotion.…”

Section: Studies Outcomementioning

confidence: 99%

“…The majority of the included studies were published in conference (4 articles, 66.7%) and the remaining studies (2 articles, 33.3%) were published as journal articles. All included articles were released in 2016 onwards, where basically two articles (33.3%) were published in 2016 (26,30), one study (16.7%) conducted in 2017 (27), two studies (33.3%) were published in 2019 (25, 29), and finally one study (16.7%) was released in 2021 (28). Regarding country of publication, two articles were published in Spain (25, 28), one article conducted in China (29), one study published in Germany (30), one article were released in Russia (27), and one article was issued in Taiwan (26).…”

Section: Type Place and Year Of Publicationmentioning

confidence: 99%

“…All included articles were released in 2016 onwards, where basically two articles (33.3%) were published in 2016 (26,30), one study (16.7%) conducted in 2017 (27), two studies (33.3%) were published in 2019 (25, 29), and finally one study (16.7%) was released in 2021 (28). Regarding country of publication, two articles were published in Spain (25, 28), one article conducted in China (29), one study published in Germany (30), one article were released in Russia (27), and one article was issued in Taiwan (26). Concerning the design of included articles, the common design was experimental study as represented in four studies (25, 27-29) as show in Table 1.…”

Section: Type Place and Year Of Publicationmentioning

confidence: 99%

“…The vast majority of research intervention projects (66.7%, n = 4) are performed using the android platform, and only two studies (33.3%) were conducted on the IOS platform and android. Four articles have utilized the mobile application to enhance emotion identification, and expression skills (26)(27)(28)(29), and one study targeted social and emotional skills (30). The last study used a smartphone application to enhance a wide range of abilities, including learning and memory; flexibility and self-control; friendship and group dynamics; reading and interpreting facial expressions and emotions; expressing oneself in words; assessing and supporting desired behaviours; and even engaging in imaginative play (29).…”

Section: Intervention Platform and Target Skillsmentioning

confidence: 99%

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Mobile Application to identify and recognize emotions for children with autism: A systematic review

Al-Saadi

Al-Thani

2023

Front. Child Adolesc. Psychiatry

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IntroductionEmotions are a vital component of human interaction. Children with Autism Spectrum Disorder (ASD) face severe difficulties in sensing and interpreting the emotions of others, as well as responding emotionally appropriately. Developers are producing many mobile applications to assist ASD children in improving their facial expression detection and reaction abilities and increasing their independence.ObjectiveThis systematic review aims to explore the mobile application in helping children with ASD to identify and express their feeling.MethodsThe inclusion and exclusion articles for our analysis were mapped using the PRISMA Preferred Reporting Items for Systematic Reviews and Meta-Analysis diagram. The studies were retrieved from the following four databases: Google Scholar, Scopus, Association for Computing Machinery (ACM), and Institute of Electrical and Electronics Engineers (IEEE). Additionally, two screening processes were used to determine relevant literature. Reading the title and abstract was the initial step, followed by reading the complete content. Finally, the authors display the results using a narrative synthesis.ResultsFrom four electronic databases, we retrieved 659 articles. six studies that met our inclusion criteria were included in the systematic review. More details about inclusion and exclusion criteria can be found in the Eligibility criteria.ConclusionThis systematic review sheds light on current research that employed mobile applications to improve emotion detection and expression in children with ASD. This smartphone application has the potential to empower autistic children by assisting them in expressing their emotions and enhancing their ability to recognize emotions. However, it is currently deemed essential to assess the effectiveness of mobile applications for remediation through more rigorous methodological research. For example, most included studies were quantitative and focused on statical measurements. However, there is an immediate need for more incredible research in this area to include qualitative research and to consider large samples, control groups and placebo, prolonged treatment durations, and follow-up to see whether improvements are sustainable and to ensure the effectiveness of applications.

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Section: Characteristics Of Participantsmentioning

confidence: 99%

Section: Studies Outcomementioning

confidence: 99%

Section: Type Place and Year Of Publicationmentioning

confidence: 99%

Section: Type Place and Year Of Publicationmentioning

confidence: 99%

Section: Intervention Platform and Target Skillsmentioning

confidence: 99%

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Mobile Application to identify and recognize emotions for children with autism: A systematic review

Al-Saadi

Al-Thani

2023

Front. Child Adolesc. Psychiatry

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Sensing technologies and machine learning methods for emotion recognition in autism: Systematic review

Banos,

Comas-González,

Medina

et al. 2024

International Journal of Medical Informatics

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The Correlation Between the Set of Mental Functions and Emotion Recognition Skills Formation in Children with Autism Spectrum Disorder

Mesnyankina¹,

Anishchenko

Kalinin

2020

Autism and Developmental Disorders

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Research is devoted to revealing the relation of the complex of mental functions and their components with the ability to recognize emotions from facial expressions and with the success of learning this skill in children with autism spectrum disorder (ASD). The set includes characteristics of the visual perception, properties of attention, properties of thinking and visual spatial analysis and synthesis. The study involved 19 children with ASD at the age of 6 to 12 years, including 2 girls and 17 boys. The training consisted of 12 sessions. Research showed that the success of emotion recognition from facial expressions in children with ASD associated with the level of development of visual spatial analysis and synthesis. It is also revealed that the success of emotion recognition training is connected with the level of development of visual spatial analysis and synthesis, abstract reasoning, and a concept formation.

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Mobile Tutoring System in Facial Expression Perception and Production for Children with Autism Spectrum Disorder

Cited by 5 publications

References 9 publications

Mobile Application to identify and recognize emotions for children with autism: A systematic review

Mobile Application to identify and recognize emotions for children with autism: A systematic review

Sensing technologies and machine learning methods for emotion recognition in autism: Systematic review

The Correlation Between the Set of Mental Functions and Emotion Recognition Skills Formation in Children with Autism Spectrum Disorder

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