2020 |
Khowaja, K; Banire, B; Al-Thani, D; Sqalli, M T; Aqle, A; Shah, A; Salim, S S Augmented reality for learning of children and adolescents with autism spectrum disorder (ASD): A systematic review Journal Article IEEE Access, 8 , pp. 78779-78807, 2020, ISSN: 21693536, (cited By 0). Abstract | Links | BibTeX | Tags: Adolescent, Augmented Reality, Autism Spectrum Disorders, Bibliographic Database, Children, Classroom Environment, Data Acquisition, Data Collection, Diseases, Evaluation Parameters, Information Services, Maintenance, Parameter Estimation, Research, Social Communications @article{Khowaja202078779, title = {Augmented reality for learning of children and adolescents with autism spectrum disorder (ASD): A systematic review}, author = {K Khowaja and B Banire and D Al-Thani and M T Sqalli and A Aqle and A Shah and S S Salim}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85084863534&doi=10.1109%2fACCESS.2020.2986608&partnerID=40&md5=266b4a1de057baa6582f13eb62483811}, doi = {10.1109/ACCESS.2020.2986608}, issn = {21693536}, year = {2020}, date = {2020-01-01}, journal = {IEEE Access}, volume = {8}, pages = {78779-78807}, publisher = {Institute of Electrical and Electronics Engineers Inc.}, abstract = {This paper presents a systematic review of relevant primary studies on the use of augmented reality (AR) to improve various skills of children and adolescents diagnosed with autism spectrum disorder (ASD) from years 2005 to 2018 inclusive in eight bibliographic databases. This systematic review attempts to address eleven specific research questions related to the learing skills, participants, AR technology, research design, data collection methods, settings, evaluation parameters, intervention outcomes, generalization, and maintenance. The social communication skill was the highly targeted skill, and individuals with ASD were part of all the studies. Computer, smartphone, and smartglass are more frequently used technologies. The commonly used research design was pre-test and post-test. Almost all the studies used observation as a data collection method, and classroom environment or controlled research environment were used as a setting of evaluation. Most of the evaluation parameters were human-assisted. The results of the studies show that AR benefited children with ASD in learning skills. The generalization test was conducted in one study only, but the results were not reported. The results of maintenance tests conducted in five studies during a short-term period following the withdrawal of intervention were positive. Although the effect of using AR towards the learning of individuals was positive, given the wide variety of skills targeted in the studies, and the heterogeneity of the participants, a summative conclusion regarding the effectiveness of AR for teaching or learning of skills related to ASD based on the existing literature is not possible. The review also proposes the research taxonomy for ASD. Future research addressing the effectiveness of AR among more participants, different technologies supporting AR for the intervention, generalization, and maintenance of learning skills, and the evaluation in the inslusive classroom environment and other settings is warranted. © 2013 IEEE.}, note = {cited By 0}, keywords = {Adolescent, Augmented Reality, Autism Spectrum Disorders, Bibliographic Database, Children, Classroom Environment, Data Acquisition, Data Collection, Diseases, Evaluation Parameters, Information Services, Maintenance, Parameter Estimation, Research, Social Communications}, pubstate = {published}, tppubtype = {article} } This paper presents a systematic review of relevant primary studies on the use of augmented reality (AR) to improve various skills of children and adolescents diagnosed with autism spectrum disorder (ASD) from years 2005 to 2018 inclusive in eight bibliographic databases. This systematic review attempts to address eleven specific research questions related to the learing skills, participants, AR technology, research design, data collection methods, settings, evaluation parameters, intervention outcomes, generalization, and maintenance. The social communication skill was the highly targeted skill, and individuals with ASD were part of all the studies. Computer, smartphone, and smartglass are more frequently used technologies. The commonly used research design was pre-test and post-test. Almost all the studies used observation as a data collection method, and classroom environment or controlled research environment were used as a setting of evaluation. Most of the evaluation parameters were human-assisted. The results of the studies show that AR benefited children with ASD in learning skills. The generalization test was conducted in one study only, but the results were not reported. The results of maintenance tests conducted in five studies during a short-term period following the withdrawal of intervention were positive. Although the effect of using AR towards the learning of individuals was positive, given the wide variety of skills targeted in the studies, and the heterogeneity of the participants, a summative conclusion regarding the effectiveness of AR for teaching or learning of skills related to ASD based on the existing literature is not possible. The review also proposes the research taxonomy for ASD. Future research addressing the effectiveness of AR among more participants, different technologies supporting AR for the intervention, generalization, and maintenance of learning skills, and the evaluation in the inslusive classroom environment and other settings is warranted. © 2013 IEEE. |
2018 |
Min, W K; Theng, L B Integration of digital social story intervention into differentiated instruction framework Journal Article Journal of Integrated Design and Process Science, 21 (4), pp. 41-56, 2018, ISSN: 10920617, (cited By 1). Abstract | Links | BibTeX | Tags: Autism Spectrum Disorders, Differentiated Instruction, Diseases, E-learning, Human Intervention, Social behaviour, Social Communications, Social Skills, Social Stories, Social Story Interventions, Teaching @article{Min201841, title = {Integration of digital social story intervention into differentiated instruction framework}, author = {W K Min and L B Theng}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85056467196&doi=10.3233%2fjid-2017-0008&partnerID=40&md5=fdc3f6472d188fb0fc7b949800a99b4d}, doi = {10.3233/jid-2017-0008}, issn = {10920617}, year = {2018}, date = {2018-01-01}, journal = {Journal of Integrated Design and Process Science}, volume = {21}, number = {4}, pages = {41-56}, publisher = {IOS Press}, abstract = {Social communication impairment is pervasive among children diagnosed with Autism Spectrum Disorder (ASD) and participating in the respective community as a full-fledge member requires positive social behaviours. To help these children acquire acceptable social behaviours, social story approach as an eminent social skills intervention technique makes use of engaging and relevant social stories. Though reported effective, not all social stories created are equally effective for all children in addition to a significant amount of human intervention this approach requires and teacher/ caretaker's difficulties in providing full-individualized attention. This study investigated how digital social stories intervention augmented with differentiated instructions could help overcome these drawbacks while supplementing the social communication needs of the children with ASD. The results of this study were positive and the proposed approach was effective in improving social behaviours of the children with ASD. © 2017 - IOS Press and the authors. All rights reserved.}, note = {cited By 1}, keywords = {Autism Spectrum Disorders, Differentiated Instruction, Diseases, E-learning, Human Intervention, Social behaviour, Social Communications, Social Skills, Social Stories, Social Story Interventions, Teaching}, pubstate = {published}, tppubtype = {article} } Social communication impairment is pervasive among children diagnosed with Autism Spectrum Disorder (ASD) and participating in the respective community as a full-fledge member requires positive social behaviours. To help these children acquire acceptable social behaviours, social story approach as an eminent social skills intervention technique makes use of engaging and relevant social stories. Though reported effective, not all social stories created are equally effective for all children in addition to a significant amount of human intervention this approach requires and teacher/ caretaker's difficulties in providing full-individualized attention. This study investigated how digital social stories intervention augmented with differentiated instructions could help overcome these drawbacks while supplementing the social communication needs of the children with ASD. The results of this study were positive and the proposed approach was effective in improving social behaviours of the children with ASD. © 2017 - IOS Press and the authors. All rights reserved. |
2017 |
Azahari, I N N A; Ahmad, Wan W F; Hashim, A S; Jamaludin, Z User experience of autism social-aid among autistic children: AUTISM social aid application Journal Article Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10645 LNCS , pp. 391-397, 2017, ISSN: 03029743, (cited By 0). Abstract | Links | BibTeX | Tags: Autism Spectrum Disorders, Autistic Children, Children with Autism, Developmental Disorders, Diseases, Education, Mobile Applications, Mobile Computing, Mobile Telecommunication Systems, Social Communications, Social Interactions, Teaching, User Experience @article{Azahari2017391, title = {User experience of autism social-aid among autistic children: AUTISM social aid application}, author = {I N N A Azahari and W F Wan Ahmad and A S Hashim and Z Jamaludin}, editor = {Robinson Smeaton Terutoshi Badioze Zaman Jaafar Mohamad Ali P A F T H A N Shih T.K. Velastin S.}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85035144320&doi=10.1007%2f978-3-319-70010-6_36&partnerID=40&md5=be011b83ad6f806d1c23182f1e9250a2}, doi = {10.1007/978-3-319-70010-6_36}, issn = {03029743}, year = {2017}, date = {2017-01-01}, journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)}, volume = {10645 LNCS}, pages = {391-397}, publisher = {Springer Verlag}, abstract = {Autism is a developmental disability that influences a significant number of daily skills, which includes social, communication and behavioural challenges. Technology has proven as one of the prompt intermediation and efficient educational method that leads to infinite improvement especially for children. Autistic children seem to have difficulties in communication and social skills and as a result of this need their teachers and parents’ support with their social interaction. Numerous educational practices and approaches have been carried out in order to assist as well as develop these children. This paper presents the results of user experience testing of Autism Social-Aid mobile application to children with autism. The session was conducted to children with medium functioning Autism Spectrum Disorder, from two different age groups that include 5–14 years old and 14–18 years old. The children’s reactions were observed and scored by a moderator. Results have shown that majority of the children with autism are more confident and satisfied when using the application. The application does need to be improved in ways that could capture the child’s attention towards the mobile activities. © Springer International Publishing AG 2017.}, note = {cited By 0}, keywords = {Autism Spectrum Disorders, Autistic Children, Children with Autism, Developmental Disorders, Diseases, Education, Mobile Applications, Mobile Computing, Mobile Telecommunication Systems, Social Communications, Social Interactions, Teaching, User Experience}, pubstate = {published}, tppubtype = {article} } Autism is a developmental disability that influences a significant number of daily skills, which includes social, communication and behavioural challenges. Technology has proven as one of the prompt intermediation and efficient educational method that leads to infinite improvement especially for children. Autistic children seem to have difficulties in communication and social skills and as a result of this need their teachers and parents’ support with their social interaction. Numerous educational practices and approaches have been carried out in order to assist as well as develop these children. This paper presents the results of user experience testing of Autism Social-Aid mobile application to children with autism. The session was conducted to children with medium functioning Autism Spectrum Disorder, from two different age groups that include 5–14 years old and 14–18 years old. The children’s reactions were observed and scored by a moderator. Results have shown that majority of the children with autism are more confident and satisfied when using the application. The application does need to be improved in ways that could capture the child’s attention towards the mobile activities. © Springer International Publishing AG 2017. |
2015 |
Isa, N R M; Yusoff, M; Khalid, N E; Tahir, N; Nikmat, Binti A W Autism severity level detection using fuzzy expert system Conference Institute of Electrical and Electronics Engineers Inc., 2015, ISBN: 9781479957651, (cited By 2). Abstract | Links | BibTeX | Tags: Autism, Autism Severity Level, Autistic Children, Children with Autism, Data Acquisition, Developmental Disorders, Diseases, Education, Expert Systems, Fuzzy Expert Systems, Level Detections, Manufacture, Robotics, Social Communications, Surveys, System Architectures, Teaching @conference{Isa2015218, title = {Autism severity level detection using fuzzy expert system}, author = {N R M Isa and M Yusoff and N E Khalid and N Tahir and A W Binti Nikmat}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84959503922&doi=10.1109%2fROMA.2014.7295891&partnerID=40&md5=63e742d59b785d14f87d98dac7dd71ee}, doi = {10.1109/ROMA.2014.7295891}, isbn = {9781479957651}, year = {2015}, date = {2015-01-01}, journal = {2014 IEEE International Symposium on Robotics and Manufacturing Automation, IEEE-ROMA2014}, pages = {218-223}, publisher = {Institute of Electrical and Electronics Engineers Inc.}, abstract = {Autism is a neuro developmental disorder that is recently well known among Malaysian. Many researches on autism detection have been conducted worldwide. However, there is lack of research conducted in detecting autism severity level. Therefore, this paper focuses on autism severity level detection using fuzzy expert system. Two main autistic behavioral criteria are selected which are social communication impairment and restricted repetitive behavior. Data acquisition was based on interview sessions with clinical psychologist and distribution of 36 questionnaires to teachers and parents that have autistic children. It was then analyzed and the cut off points for each severity level; level 1 (mild), level 2 (moderate), and level 3 (severe) is determined. The fuzzy expert system processes are employed to detect the severity levels. The processes involve Fuzzy system architecture, fuzzification, rules evaluation, rules evaluation and defuzzification. The finding demonstrates that the system is able to detect autism severity level with a good accuracy. This system also accommodates with suitable recommendation based on the generated result whether the suggestion is to go for speech therapy or behavior therapy. © 2014 IEEE.}, note = {cited By 2}, keywords = {Autism, Autism Severity Level, Autistic Children, Children with Autism, Data Acquisition, Developmental Disorders, Diseases, Education, Expert Systems, Fuzzy Expert Systems, Level Detections, Manufacture, Robotics, Social Communications, Surveys, System Architectures, Teaching}, pubstate = {published}, tppubtype = {conference} } Autism is a neuro developmental disorder that is recently well known among Malaysian. Many researches on autism detection have been conducted worldwide. However, there is lack of research conducted in detecting autism severity level. Therefore, this paper focuses on autism severity level detection using fuzzy expert system. Two main autistic behavioral criteria are selected which are social communication impairment and restricted repetitive behavior. Data acquisition was based on interview sessions with clinical psychologist and distribution of 36 questionnaires to teachers and parents that have autistic children. It was then analyzed and the cut off points for each severity level; level 1 (mild), level 2 (moderate), and level 3 (severe) is determined. The fuzzy expert system processes are employed to detect the severity levels. The processes involve Fuzzy system architecture, fuzzification, rules evaluation, rules evaluation and defuzzification. The finding demonstrates that the system is able to detect autism severity level with a good accuracy. This system also accommodates with suitable recommendation based on the generated result whether the suggestion is to go for speech therapy or behavior therapy. © 2014 IEEE. |
Aziz, A A; Moganan, F F M; Ismail, A; Lokman, A M Autistic Children's Kansei Responses Towards Humanoid-Robot as Teaching Mediator Conference 76 , Elsevier B.V., 2015, ISSN: 18770509, (cited By 6). Abstract | Links | BibTeX | Tags: Anthropomorphic Robots, Autism Spectrum Disorders, Children with Autism, Diseases, Education, Emotion, Emotion Extractions, Humanoid Robot, Humanoid Robot NAO, Intelligent Control, Interaction Modules, Kansei Engineering, Robotics, Robots, Smart Sensors, Social Communications @conference{Aziz2015488, title = {Autistic Children's Kansei Responses Towards Humanoid-Robot as Teaching Mediator}, author = {A A Aziz and F F M Moganan and A Ismail and A M Lokman}, editor = {Miskon M F Yussof H.}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84962865419&doi=10.1016%2fj.procs.2015.12.322&partnerID=40&md5=2406a6eb6d803f72684751a8aab37868}, doi = {10.1016/j.procs.2015.12.322}, issn = {18770509}, year = {2015}, date = {2015-01-01}, journal = {Procedia Computer Science}, volume = {76}, pages = {488-493}, publisher = {Elsevier B.V.}, abstract = {Autism is often being associated with the deficits in social communication, interaction as well as imagination. Autistic patients may experience the impairment in social interaction usually being related to their inability to interpret others' emotion and even to express their own feelings. As a result, children with autism are often been labeled as lacking the ability to express their emotion. The main objective of this paper is to present a pilot study in studying the autistic children's' emotions and feelings upon being triggered by the humanoid-robot, NAO. Kansei Engineering, which is a powerful emotion extraction mechanism is adopted in the study to assess the children's' emotion. The experiment involved two autistic children and one normal child who were given four interaction modules in separate intervention session. The experiment conducted is to observe how robot triggers the emotion of these children. The result shows that different types of modules which would trigger different emotional reactions. This result provides a basis for further investigation of the assessment of autistic children's feeling and emotion. The result will ultimately contribute to finding best possible therapy for autistic children towards the used of humanoid-robot.}, note = {cited By 6}, keywords = {Anthropomorphic Robots, Autism Spectrum Disorders, Children with Autism, Diseases, Education, Emotion, Emotion Extractions, Humanoid Robot, Humanoid Robot NAO, Intelligent Control, Interaction Modules, Kansei Engineering, Robotics, Robots, Smart Sensors, Social Communications}, pubstate = {published}, tppubtype = {conference} } Autism is often being associated with the deficits in social communication, interaction as well as imagination. Autistic patients may experience the impairment in social interaction usually being related to their inability to interpret others' emotion and even to express their own feelings. As a result, children with autism are often been labeled as lacking the ability to express their emotion. The main objective of this paper is to present a pilot study in studying the autistic children's' emotions and feelings upon being triggered by the humanoid-robot, NAO. Kansei Engineering, which is a powerful emotion extraction mechanism is adopted in the study to assess the children's' emotion. The experiment involved two autistic children and one normal child who were given four interaction modules in separate intervention session. The experiment conducted is to observe how robot triggers the emotion of these children. The result shows that different types of modules which would trigger different emotional reactions. This result provides a basis for further investigation of the assessment of autistic children's feeling and emotion. The result will ultimately contribute to finding best possible therapy for autistic children towards the used of humanoid-robot. |
Jamil, N; Khir, N H M; Ismail, M; Razak, F H A Gait-Based Emotion Detection of Children with Autism Spectrum Disorders: A Preliminary Investigation Conference 76 , Elsevier B.V., 2015, ISSN: 18770509, (cited By 4). Abstract | Links | BibTeX | Tags: Autism Spectrum Disorders, Children with Autism, Data Acquisition, Diseases, Emotion, Emotion Detection, Emotion Recognition, Emotional State, Facial Expression, Gait Analysis, Intelligent Control, Nonverbal Communication, Pattern Recognition, Robotics, Smart Sensors, Social Communications, Speech Recognition @conference{Jamil2015342, title = {Gait-Based Emotion Detection of Children with Autism Spectrum Disorders: A Preliminary Investigation}, author = {N Jamil and N H M Khir and M Ismail and F H A Razak}, editor = {Miskon M F Yussof H.}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84962833568&doi=10.1016%2fj.procs.2015.12.305&partnerID=40&md5=6893678f1ed83b87147ff9183b94428b}, doi = {10.1016/j.procs.2015.12.305}, issn = {18770509}, year = {2015}, date = {2015-01-01}, journal = {Procedia Computer Science}, volume = {76}, pages = {342-348}, publisher = {Elsevier B.V.}, abstract = {With the disturbing increase of children with Autism Spectrum Disorder (ASD) in Malaysia, a lot of efforts and studies are put forward towards understanding and managing matters related to ASD. One way is to find means of easing the social communications among these children and their caretakers, particularly during intervention. If the caretaker is able to comprehend the children emotional state of mind prior to therapy, some sort of trust and attachment will be developed. However, regulating emotions is a challenge to these children. Nonverbal communication such as facial expression is difficult for ASD children. Therefore, we proposed the use of walking patterns (i.e. gait) to detect the type of emotions of ASD children. Even though using gait for emotion recognition is common among normal individuals, none can be found done on children with ASD. Thus, the aim of this paper is to conduct a preliminary review on the possibilities of carrying out gait-based emotion detection among ASD children with regards to the emotional types, gait parameters and methods of gait data acquisition. © 2015 The Authors.}, note = {cited By 4}, keywords = {Autism Spectrum Disorders, Children with Autism, Data Acquisition, Diseases, Emotion, Emotion Detection, Emotion Recognition, Emotional State, Facial Expression, Gait Analysis, Intelligent Control, Nonverbal Communication, Pattern Recognition, Robotics, Smart Sensors, Social Communications, Speech Recognition}, pubstate = {published}, tppubtype = {conference} } With the disturbing increase of children with Autism Spectrum Disorder (ASD) in Malaysia, a lot of efforts and studies are put forward towards understanding and managing matters related to ASD. One way is to find means of easing the social communications among these children and their caretakers, particularly during intervention. If the caretaker is able to comprehend the children emotional state of mind prior to therapy, some sort of trust and attachment will be developed. However, regulating emotions is a challenge to these children. Nonverbal communication such as facial expression is difficult for ASD children. Therefore, we proposed the use of walking patterns (i.e. gait) to detect the type of emotions of ASD children. Even though using gait for emotion recognition is common among normal individuals, none can be found done on children with ASD. Thus, the aim of this paper is to conduct a preliminary review on the possibilities of carrying out gait-based emotion detection among ASD children with regards to the emotional types, gait parameters and methods of gait data acquisition. © 2015 The Authors. |
2014 |
Samat, M R A; Shamsuddin, S; Miskam, M A; Yussof, H Institute of Electrical and Electronics Engineers Inc., 2014, ISBN: 9781479966790, (cited By 1). Abstract | Links | BibTeX | Tags: Algorithms, Autistic Children, Children with Autism, Developmental Disorders, Diseases, Essential Elements, Face Recognition, Face Recognition Algorithms, Robotics, Social Communications, Training Modules @conference{Samat2014, title = {Development of face recognition algorithm for enhancement of social communication of robotic assistive autism therapy}, author = {M R A Samat and S Shamsuddin and M A Miskam and H Yussof}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84922181743&doi=10.1109%2fMHS.2014.7006062&partnerID=40&md5=a995285772a99b9a81c11f49e0a94341}, doi = {10.1109/MHS.2014.7006062}, isbn = {9781479966790}, year = {2014}, date = {2014-01-01}, journal = {2014 International Symposium on Micro-NanoMechatronics and Human Science, MHS 2014}, publisher = {Institute of Electrical and Electronics Engineers Inc.}, abstract = {In this paper, we propose a face recognition method for tracking, detecting and recognizing the faces of children with Autism Spectrum Disorder (ASD) for robotic assistive therapy application. ASD is a brain developmental disorder that manifests itself through a person's behavior and social-communication skill [1]. Face recognition stage is an essential element in robotic assistive therapy since it is the first interaction step that occurs between autistic children and robot. The algorithm aims to encourage autistic children to interact and to capture their attention using a robot that recognizes their faces. This is to establish a beneficial training environment for autistic children before engaging further in the training module. © 2014 IEEE.}, note = {cited By 1}, keywords = {Algorithms, Autistic Children, Children with Autism, Developmental Disorders, Diseases, Essential Elements, Face Recognition, Face Recognition Algorithms, Robotics, Social Communications, Training Modules}, pubstate = {published}, tppubtype = {conference} } In this paper, we propose a face recognition method for tracking, detecting and recognizing the faces of children with Autism Spectrum Disorder (ASD) for robotic assistive therapy application. ASD is a brain developmental disorder that manifests itself through a person's behavior and social-communication skill [1]. Face recognition stage is an essential element in robotic assistive therapy since it is the first interaction step that occurs between autistic children and robot. The algorithm aims to encourage autistic children to interact and to capture their attention using a robot that recognizes their faces. This is to establish a beneficial training environment for autistic children before engaging further in the training module. © 2014 IEEE. |
2013 |
Manap, A A; Dehkordi, S R; Rias, R M; Sardan, N A Atlantis Press, 2013, ISBN: 9789462520028, (cited By 0). Abstract | Links | BibTeX | Tags: Autism Spectrum Disorders, Brain Development, Children with Autism, Complex Disorder, Computer Games, Computer Graphics, Computer Vision, Diseases, Education, Games, Semi Structured Interviews, Social Communications, Social Skills, Surveys, Teaching @conference{Manap201326, title = {Computer game approach focusing on social communication skills for children with Autism Spectrum Disorder: An initial study}, author = {A A Manap and S R Dehkordi and R M Rias and N A Sardan}, editor = {Soewito Bououdina B M Chen M.-S. Gaol F.L.}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84937138693&partnerID=40&md5=0a35258c8d4d2f61296da695c5ef765f}, isbn = {9789462520028}, year = {2013}, date = {2013-01-01}, journal = {2013 International Conference on Computer Graphics, Visualization, Computer Vision, and Game Technology, VisioGame 2013}, pages = {26-31}, publisher = {Atlantis Press}, abstract = {Autism Spectrum Disorders (ASD) and autism are both general terms for a group of complex disorders of brain development. ASD is characterized by difficulties with communication, social deficits, stereotyped or repetitive behaviours and interests. One of the major reasons behind the push to use technology and multimedia to assist interaction with children diagnosed with ASD is that they have shown a preference for, as well as a fascination with, "visual stimuli" such as computer applications, games, and videos. Primordial purpose of this study is to synthesize a survey regarding social problems and situations faced by children with autism. A number of questionnaires for parents and teachers with a semi-structured interview for five doctors and eleven therapists were conducted to identify basic problems of children with Autism and psychological methods for each problem. © 2014. The authors - Published by Atlantis Press.}, note = {cited By 0}, keywords = {Autism Spectrum Disorders, Brain Development, Children with Autism, Complex Disorder, Computer Games, Computer Graphics, Computer Vision, Diseases, Education, Games, Semi Structured Interviews, Social Communications, Social Skills, Surveys, Teaching}, pubstate = {published}, tppubtype = {conference} } Autism Spectrum Disorders (ASD) and autism are both general terms for a group of complex disorders of brain development. ASD is characterized by difficulties with communication, social deficits, stereotyped or repetitive behaviours and interests. One of the major reasons behind the push to use technology and multimedia to assist interaction with children diagnosed with ASD is that they have shown a preference for, as well as a fascination with, "visual stimuli" such as computer applications, games, and videos. Primordial purpose of this study is to synthesize a survey regarding social problems and situations faced by children with autism. A number of questionnaires for parents and teachers with a semi-structured interview for five doctors and eleven therapists were conducted to identify basic problems of children with Autism and psychological methods for each problem. © 2014. The authors - Published by Atlantis Press. |
2020 |
Augmented reality for learning of children and adolescents with autism spectrum disorder (ASD): A systematic review Journal Article IEEE Access, 8 , pp. 78779-78807, 2020, ISSN: 21693536, (cited By 0). |
2018 |
Integration of digital social story intervention into differentiated instruction framework Journal Article Journal of Integrated Design and Process Science, 21 (4), pp. 41-56, 2018, ISSN: 10920617, (cited By 1). |
2017 |
User experience of autism social-aid among autistic children: AUTISM social aid application Journal Article Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10645 LNCS , pp. 391-397, 2017, ISSN: 03029743, (cited By 0). |
2015 |
Autism severity level detection using fuzzy expert system Conference Institute of Electrical and Electronics Engineers Inc., 2015, ISBN: 9781479957651, (cited By 2). |
Autistic Children's Kansei Responses Towards Humanoid-Robot as Teaching Mediator Conference 76 , Elsevier B.V., 2015, ISSN: 18770509, (cited By 6). |
Gait-Based Emotion Detection of Children with Autism Spectrum Disorders: A Preliminary Investigation Conference 76 , Elsevier B.V., 2015, ISSN: 18770509, (cited By 4). |
2014 |
Institute of Electrical and Electronics Engineers Inc., 2014, ISBN: 9781479966790, (cited By 1). |
2013 |
Atlantis Press, 2013, ISBN: 9789462520028, (cited By 0). |