Multimodal Technologies in Autism Spectrum Disorder Interventions: A Systematic Review

Authors

  • Normala Rahim Faculty of Informatics and Computing, Universiti Sultan Zainal Abidin, Tembila Campus, 22200 Besut, Terengganu, Malaysia
  • Wan Rizhan Faculty of Informatics and Computing, Universiti Sultan Zainal Abidin, Tembila Campus, 22200 Besut, Terengganu, Malaysia
  • Norsuhaily Abu Bakar Faculty of Applied Social Sciences (FSSG), Universiti Sultan Zainal Abidin, Tembila Campus, 22200 Besut, Terengganu, Malaysia
  • Tengku Siti Meriam Tengku Wook Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, 43600 Bangi, Selangor, Malaysia
  • Syadiah Nor Shamsuddin Faculty of Informatics and Computing, Universiti Sultan Zainal Abidin, Tembila Campus, 22200 Besut, Terengganu, Malaysia
  • Wan Malini Wan Isa Faculty of Informatics and Computing, Universiti Sultan Zainal Abidin, Tembila Campus, 22200 Besut, Terengganu, Malaysia
  • Wan Azani Mustafa Faculty of Electrical Engineering Technology, Universiti Malaysia Perlis, UniCITI Alam Campus, Sungai Chuchuh, 02100 Padang Besar, Perlis, Malaysia
  • Ahmad Fathurrahman Yusof Hilmi Faculty of Informatics and Computing, Universiti Sultan Zainal Abidin, Tembila Campus, 22200 Besut, Terengganu, Malaysia
  • Puji Rahayu Faculty of Computer Science, Universitas Mercu Buana, Kota Jakarta Barat, Daerah Khusus Ibukota Jakarta 11650, Indonesia

DOI:

https://doi.org/10.37934/araset.60.1.150165

Keywords:

Autism Spectrum Disorders, Information communication technology, Multimodal, Human computer interaction, User eXperience (UX)

Abstract

The rising prevalence of autism spectrum disorder (ASD) has prompted a continual search for innovative interventions to enhance the lives of individuals across the spectrum. In this systematic literature review, we embark on a comprehensive exploration of multimodal technologies in ASD Interventions. ASD, characterized by challenges in social communication, repetitive behaviours, and sensory sensitivities, necessitates versatile therapeutic strategies. Recent advances in technology have ushered in a new era of possibilities in the realm of ASD interventions. Multimodal technologies, which encompass a wide spectrum of digital platforms, software applications, wearable devices, and virtual reality, offer unprecedented opportunities to engage, educate, and empower individuals with ASD. This systematic review critically evaluates the multifaceted landscape of technological interventions within the context of ASD. Subsections dedicated to screening and diagnosis, communication, social skills, emotional regulation, and sensory integration provide a comprehensive overview of the diverse applications of multimodal technologies. The review synthesizes findings from a range of studies, including randomized controlled trials, quasi-experimental designs, and case studies, to elucidate the effectiveness, limitations, and prospects of these interventions. Furthermore, this review highlights the ethical considerations, accessibility challenges, and the need for continued research and standardization in the field. By examining the evolving role of technology in enhancing the lives of individuals with ASD, this systematic review offers valuable insights for researchers, clinicians, educators, and policymakers. It underscores the potential of multimodal technologies to revolutionize ASD interventions, making them more personalized, engaging, and effective, ultimately fostering improved outcomes and quality of life for individuals on the autism spectrum.

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Author Biographies

Normala Rahim, Faculty of Informatics and Computing, Universiti Sultan Zainal Abidin, Tembila Campus, 22200 Besut, Terengganu, Malaysia

normalarahim@unisza.edu.my

Wan Rizhan, Faculty of Informatics and Computing, Universiti Sultan Zainal Abidin, Tembila Campus, 22200 Besut, Terengganu, Malaysia

wmrizhan@unisza.edu.my

Norsuhaily Abu Bakar, Faculty of Applied Social Sciences (FSSG), Universiti Sultan Zainal Abidin, Tembila Campus, 22200 Besut, Terengganu, Malaysia

norsuhaily@unisza.edu.my

Tengku Siti Meriam Tengku Wook, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, 43600 Bangi, Selangor, Malaysia

tsmeriam@ukm.edu.my

Syadiah Nor Shamsuddin, Faculty of Informatics and Computing, Universiti Sultan Zainal Abidin, Tembila Campus, 22200 Besut, Terengganu, Malaysia

syadiah@unisza.edu.my

Wan Malini Wan Isa, Faculty of Informatics and Computing, Universiti Sultan Zainal Abidin, Tembila Campus, 22200 Besut, Terengganu, Malaysia

wanmalini@unisza.edu.my

Wan Azani Mustafa, Faculty of Electrical Engineering Technology, Universiti Malaysia Perlis, UniCITI Alam Campus, Sungai Chuchuh, 02100 Padang Besar, Perlis, Malaysia

wanazani@unimap.edu.my

Ahmad Fathurrahman Yusof Hilmi, Faculty of Informatics and Computing, Universiti Sultan Zainal Abidin, Tembila Campus, 22200 Besut, Terengganu, Malaysia

sl4407@putra.unisza.edu.my

Puji Rahayu, Faculty of Computer Science, Universitas Mercu Buana, Kota Jakarta Barat, Daerah Khusus Ibukota Jakarta 11650, Indonesia

pujisekar@gmail.com

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Published

2024-10-08

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