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Designing Interactive Technology to Support Children with Autism

Published: 11 May 2024 Publication History

Abstract

This study aims to investigate the design of interactive technologies to support the development of greetings, peer socialization, and daily life skills in autistic children. Collaboration with professional therapists and families is integral to ensure that the designed technological tools align with practical needs and undergo effectiveness evaluations. The research content includes 1) wearable masks for training autistic children in social greetings, 2) tabletop augmented reality technology to aid therapists in training children in audience socialization, and 3) tabletop interactivity to assist autistic children in learning daily activities such as making beds and dressing. The findings of those studies are expected to provide substantial guidance for developing interactive technologies that support social interaction and daily life skills development in children with autism. By using three different technologies, my doctoral research will provide a deep understanding of how interactive technologies can benefit the development of autistic children in diverse areas.

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  1. Designing Interactive Technology to Support Children with Autism

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    cover image ACM Conferences
    CHI EA '24: Extended Abstracts of the CHI Conference on Human Factors in Computing Systems
    May 2024
    4761 pages
    ISBN:9798400703317
    DOI:10.1145/3613905
    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    Published: 11 May 2024

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    Author Tags

    1. Assistive technology
    2. Autism intervention
    3. Children with autism
    4. Inclusive designs

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    • Extended-abstract
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    • Auckland Bioengineering Institute

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    Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

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    ACM CHI Conference on Human Factors in Computing Systems
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