Staff View: Technology-assisted emotion recognition for autism spectrum disorder (ASD) children: a systematic literature review

Technology-assisted emotion recognition for autism spectrum disorder (ASD) children: a systematic literature review

The information about affective states in individuals with autism spectrum disorder (ASD) is difficult to obtain as they usually suffer from deficits in facial expression. Affective state conditions of individuals with ASD were associated with impaired regulation of speech, communication, and social...

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Main Authors:	Rashidan, Mohammad Ariff, Sidek, Shahrul Na'im, Md Yusof, Hazlina, Khalid, Madihah, Dzulkarnain, Ahmad Aidil Arafat, Ghazali, Aimi Shazwani, Mohd Zabidi, Sarah Afiqah, Abdul Alim Sidique, Faizanah
Format:	Article
Language:	English English English
Published:	IEEE 2021
Subjects:	T Technology (General)
Online Access:	http://irep.iium.edu.my/88620/1/88620_Technology-assisted%20emotion%20recognition%20for%20autism.pdf http://irep.iium.edu.my/88620/2/88620_Technology-assisted%20emotion%20recognition%20for%20autism_WoS.pdf http://irep.iium.edu.my/88620/3/88620_Technology-assisted%20emotion%20recognition%20for%20autism_SCOPUS.pdf http://irep.iium.edu.my/88620/ https://ieeexplore.ieee.org/document/9359753
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spelling	my.iium.irep.886202021-05-28T01:30:54Z http://irep.iium.edu.my/88620/ Technology-assisted emotion recognition for autism spectrum disorder (ASD) children: a systematic literature review Rashidan, Mohammad Ariff Sidek, Shahrul Na'im Md Yusof, Hazlina Khalid, Madihah Dzulkarnain, Ahmad Aidil Arafat Ghazali, Aimi Shazwani Mohd Zabidi, Sarah Afiqah Abdul Alim Sidique, Faizanah T Technology (General) The information about affective states in individuals with autism spectrum disorder (ASD) is difficult to obtain as they usually suffer from deficits in facial expression. Affective state conditions of individuals with ASD were associated with impaired regulation of speech, communication, and social skills leading towards poor socio-emotion interaction. It is conceivable that the advance of technology could offer a psychophysiological alternative modality, particularly useful in persons who cannot verbally communicate their emotions as affective states such as individuals with ASD. The study is focusing on the investigation of technology-assisted approach and its relationship to affective states recognition. A systematic review was executed to summarize relevant research that involved technology-assisted implementation to identify the affective states of individuals with ASD using Preferred Reporting Items for Systematic Reviews and MetaAnalyses (PRISMA) approach. The output from the online search process obtained from six publication databases on relevant studies published up to 31 July 2020 was analyzed. Out of 391 publications retrieved, 20 papers met the inclusion and exclusion criteria set in prior. Data were synthesized narratively despite methodological and heterogeneity variations. In this review, some research methods, systems, equipment and models to address all the related issues to the technology-assisted and affective states concerned were presented. As for the consequence, it can be assumed that the emotion recognition with assisted by technology, for evaluating and classifying affective states could help to improve efficacy in therapy sessions between therapists and individuals with ASD. This review will serve as a concise reference for providing general overviews of the current state-of-the-art studies in this area for practitioners, as well as for experienced researchers who are searching for a new direction for future works. IEEE 2021-02-22 Article PeerReviewed application/pdf en http://irep.iium.edu.my/88620/1/88620_Technology-assisted%20emotion%20recognition%20for%20autism.pdf application/pdf en http://irep.iium.edu.my/88620/2/88620_Technology-assisted%20emotion%20recognition%20for%20autism_WoS.pdf application/pdf en http://irep.iium.edu.my/88620/3/88620_Technology-assisted%20emotion%20recognition%20for%20autism_SCOPUS.pdf Rashidan, Mohammad Ariff and Sidek, Shahrul Na'im and Md Yusof, Hazlina and Khalid, Madihah and Dzulkarnain, Ahmad Aidil Arafat and Ghazali, Aimi Shazwani and Mohd Zabidi, Sarah Afiqah and Abdul Alim Sidique, Faizanah (2021) Technology-assisted emotion recognition for autism spectrum disorder (ASD) children: a systematic literature review. IEEE Access, 9. pp. 33638-33653. E-ISSN 2169-3536 https://ieeexplore.ieee.org/document/9359753 10.1109/ACCESS.2021.3060753
institution	Universiti Islam Antarabangsa Malaysia
building	IIUM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	International Islamic University Malaysia
content_source	IIUM Repository (IREP)
url_provider	http://irep.iium.edu.my/
language	English English English
topic	T Technology (General)
spellingShingle	T Technology (General) Rashidan, Mohammad Ariff Sidek, Shahrul Na'im Md Yusof, Hazlina Khalid, Madihah Dzulkarnain, Ahmad Aidil Arafat Ghazali, Aimi Shazwani Mohd Zabidi, Sarah Afiqah Abdul Alim Sidique, Faizanah Technology-assisted emotion recognition for autism spectrum disorder (ASD) children: a systematic literature review
description	The information about affective states in individuals with autism spectrum disorder (ASD) is difficult to obtain as they usually suffer from deficits in facial expression. Affective state conditions of individuals with ASD were associated with impaired regulation of speech, communication, and social skills leading towards poor socio-emotion interaction. It is conceivable that the advance of technology could offer a psychophysiological alternative modality, particularly useful in persons who cannot verbally communicate their emotions as affective states such as individuals with ASD. The study is focusing on the investigation of technology-assisted approach and its relationship to affective states recognition. A systematic review was executed to summarize relevant research that involved technology-assisted implementation to identify the affective states of individuals with ASD using Preferred Reporting Items for Systematic Reviews and MetaAnalyses (PRISMA) approach. The output from the online search process obtained from six publication databases on relevant studies published up to 31 July 2020 was analyzed. Out of 391 publications retrieved, 20 papers met the inclusion and exclusion criteria set in prior. Data were synthesized narratively despite methodological and heterogeneity variations. In this review, some research methods, systems, equipment and models to address all the related issues to the technology-assisted and affective states concerned were presented. As for the consequence, it can be assumed that the emotion recognition with assisted by technology, for evaluating and classifying affective states could help to improve efficacy in therapy sessions between therapists and individuals with ASD. This review will serve as a concise reference for providing general overviews of the current state-of-the-art studies in this area for practitioners, as well as for experienced researchers who are searching for a new direction for future works.
format	Article
author	Rashidan, Mohammad Ariff Sidek, Shahrul Na'im Md Yusof, Hazlina Khalid, Madihah Dzulkarnain, Ahmad Aidil Arafat Ghazali, Aimi Shazwani Mohd Zabidi, Sarah Afiqah Abdul Alim Sidique, Faizanah
author_facet	Rashidan, Mohammad Ariff Sidek, Shahrul Na'im Md Yusof, Hazlina Khalid, Madihah Dzulkarnain, Ahmad Aidil Arafat Ghazali, Aimi Shazwani Mohd Zabidi, Sarah Afiqah Abdul Alim Sidique, Faizanah
author_sort	Rashidan, Mohammad Ariff
title	Technology-assisted emotion recognition for autism spectrum disorder (ASD) children: a systematic literature review
title_short	Technology-assisted emotion recognition for autism spectrum disorder (ASD) children: a systematic literature review
title_full	Technology-assisted emotion recognition for autism spectrum disorder (ASD) children: a systematic literature review
title_fullStr	Technology-assisted emotion recognition for autism spectrum disorder (ASD) children: a systematic literature review
title_full_unstemmed	Technology-assisted emotion recognition for autism spectrum disorder (ASD) children: a systematic literature review
title_sort	technology-assisted emotion recognition for autism spectrum disorder (asd) children: a systematic literature review
publisher	IEEE
publishDate	2021
url	http://irep.iium.edu.my/88620/1/88620_Technology-assisted%20emotion%20recognition%20for%20autism.pdf http://irep.iium.edu.my/88620/2/88620_Technology-assisted%20emotion%20recognition%20for%20autism_WoS.pdf http://irep.iium.edu.my/88620/3/88620_Technology-assisted%20emotion%20recognition%20for%20autism_SCOPUS.pdf http://irep.iium.edu.my/88620/ https://ieeexplore.ieee.org/document/9359753
_version_	1701162777438060544
score	13.211869

Technology-assisted emotion recognition for autism spectrum disorder (ASD) children: a systematic literature review

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