DIAUTIS: A Fuzzy and Affective Multi-agent Platform for the Diagnosis of Autism

Alami, Majida El; Tahiri, Najoua; Arriaga, Fernando de

doi:10.9734/bjast/2017/33716

Cited by 8 publications

(3 citation statements)

References 53 publications

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“…In this perspective, we propose to use a multi agent platform called DIAUTIS [19] that offers a wide and variable collection of tests, including computerized interviews with parents, using sensors to analyze the interaction of the child through the monitoring of ocular activity, the observation of movements, as well as the interpretation of vocal responses.…”

Section: Design Methodology Diagnostic-centered Of Serious Game Fmentioning

confidence: 99%

KASP: A Cognitive-Affective Methodology for Designing Serious Learning Games

Tahiri¹,

Mohamed²

2018

ijacsa

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Many research studies agree on the existence of a close link between emotion and cognition. Actually, much research has demonstrated that students with learning disabilities (LD) experience emotional distress related to their difficulties. In this regard, this article proposes a new methodology of designing intelligent games called KASP Methodology, it's a new approach applied to the serious games (SGs) design field. It includes new decisive factors for designing SGs for children with LD. The proposed methodology is based on four pillars which are: Knowledge, Affect, Sensory and Pedagogy and it aims helping designers of serious games for building suitable serious learning games for children with LD taking into account the cognitive and emotional aspects of the child learner in order to improve his learning rhythm and foster his emotional state related to learning in a playful and interactive environment.

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Section: Design Methodology Diagnostic-centered Of Serious Game Fmentioning

confidence: 99%

KASP: A Cognitive-Affective Methodology for Designing Serious Learning Games

Tahiri¹,

Mohamed²

2018

ijacsa

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“…ASD is the second most prevalent neurodevelopmental disorder among children, and its estimates vary markedly over time and among countries, depending on multiple epidemiological variables [1]. Due to the rising prevalence of autism, much research has centred on creating a new strategy for cost-effective and quickest tracking in diagnosing ASD.…”

Section: Autism Spectrum Disordermentioning

confidence: 99%

A Comparative Study on Autism Among Children Using Machine Learning Classification

Noruzman

Ghani

Zulkifli

2021

Proceedings of International Conference on Emerging Technologies and Intelligent Systems

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Autism Spectrum Disorder (ASD) is a neurodevelopment that affects communication and behavior in humans. It is a condition associated with a complex brain disorder, leading to significant changes in a human being's social interaction and behavior. Typically to detect toddlers who have ASD through screening tests is very expensive and time-consuming. Typically, detecting toddlers who have ASD through screening tests is very expensive and time-consuming. However, with machine learning technology today, autism can be diagnosed efficiency and accuracy. This study aims to analyze and make a comparison on which prediction model that gives a high accuracy after the feature selection. The importance of attributes is investigated using correlation and the predictive models are constructed for the detection of this disorder in children. The dataset consists of 1054 instances and each instance includes 19 attributes. Experimental results clearly show that using feature selection with 10 attributes can lead the impact of accuracy with predictive model of Random Forest (RF) returns the highest accuracy with 94.78%. The findings also indicated that the number of questions in screening tools can be reduced and give an impact with the good results.

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“…These games are designed in accordance with the axes of KASP methodology [29] which ensures better modeling of the game scenes taking into account the cognitive, emotional and sensory aspects of the child. Based on child's knowledge models, derived from DIAUTIS platform [30], it allows an adapted game scene suitable to each children's needs. DIAUTIS offers a battery of tests of different categories, it aims to identify the category of autism spectrum disorder as well as its intensity through the ability to learn from experience.…”

Section: Literature Reviewmentioning

confidence: 99%

A New Evaluation Technique Through Serious Games for Children with ASD

Tahiri¹,

Alami²

2020

Int. J. Emerg. Technol. Learn.

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Assessment at preschool age plays a crucial role in the process of learning especially for children with autism spectrum disorder (ASD), whom encounter communication difficulties as exchanging thoughts or information by speech, writing or nonverbal expression. Therefore, a welldesigned assessment method is necessary in order to guide learning and serve as a powerful tool to reinforce children's motivation to learn. Information about what a child with ASD knows, understands and is able to do is used by tutors to adjust their teaching strategies. All assessment methods have different purposes before, during or after instruction. Besides, formative assessment is the most recommended type that helps improving children's learning and it takes place during the learning process. Also, serious games provide a context for assessing a broader range of skills and constructs compared to traditional assessment approaches. In this article, we propose a new technique for evaluating the degree of concept's assimilation of children with ASD through serious games. It allows identifying concepts that children are struggling to understand and skills they are having difficulty acquiring.

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DIAUTIS: A Fuzzy and Affective Multi-agent Platform for the Diagnosis of Autism

Cited by 8 publications

References 53 publications

KASP: A Cognitive-Affective Methodology for Designing Serious Learning Games

KASP: A Cognitive-Affective Methodology for Designing Serious Learning Games

A Comparative Study on Autism Among Children Using Machine Learning Classification

A New Evaluation Technique Through Serious Games for Children with ASD

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