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Two Lightweight and Customizable Picture-based Word-Learning Mobile Applications for Chinese Children with Autism

Published: 08 October 2018 Publication History

Abstract

Language development has long been recognized as one of the core areas of deficiency in autism spectrum disorder (ASD). A large number of technology-based intervention applications have been developed to support, enhance and facilitate the language and literacy development among individuals with ASD. However, although it has been argued that allowing flexible and personalized customization of applications to accommodate ASD children's individual development trajectories is highly desirable, relatively few systems had been built to allow for such personalization and adaptivity. In this demo, we present two flexible and individually adaptable picture-based word-learning mobile applications which are lightweight in terms of the technologies utilized (i.e. Swipe-N-Tag, and Snap-N-Recognize). Specifically, both applications allow the caregivers and teachers to build up the picture database based on a child's learning progress in the classroom and the items available at home (or outdoor during an activity). As such, the words acquired in the classroom could hopefully be transferable to real-life situations. The iOS version of Swipe-N-Tag (for both iPhone and iPad) is currently being alpha tested among a limited number of parents and teachers in a private autism center in the city with satisfying results.

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Cited By

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  • (2024)Position Paper: An Emoji-Based Interactive App to Aid Emotion Expression for Autistic ChildrenCompanion of the 2024 on ACM International Joint Conference on Pervasive and Ubiquitous Computing10.1145/3675094.3678478(706-708)Online publication date: 5-Oct-2024
  • (2021)TangiLetter: An Interactive Vocabulary System for Children to Learn Words About Wild AnimalsDistributed, Ambient and Pervasive Interactions10.1007/978-3-030-77015-0_21(287-298)Online publication date: 7-Jul-2021
  • (2019)Collaborative Online Educational Games for Children with Learning Disabilities: Lessons Learned2019 IEEE 5th International Conference on Collaboration and Internet Computing (CIC)10.1109/CIC48465.2019.00032(191-195)Online publication date: Dec-2019

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  1. Two Lightweight and Customizable Picture-based Word-Learning Mobile Applications for Chinese Children with Autism

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    cover image ACM Conferences
    UbiComp '18: Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers
    October 2018
    1881 pages
    ISBN:9781450359665
    DOI:10.1145/3267305
    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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    Publication History

    Published: 08 October 2018

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    Author Tags

    1. Autism
    2. China
    3. adaptive
    4. children
    5. picture-based word learning
    6. transferable

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    View all
    • (2024)Position Paper: An Emoji-Based Interactive App to Aid Emotion Expression for Autistic ChildrenCompanion of the 2024 on ACM International Joint Conference on Pervasive and Ubiquitous Computing10.1145/3675094.3678478(706-708)Online publication date: 5-Oct-2024
    • (2021)TangiLetter: An Interactive Vocabulary System for Children to Learn Words About Wild AnimalsDistributed, Ambient and Pervasive Interactions10.1007/978-3-030-77015-0_21(287-298)Online publication date: 7-Jul-2021
    • (2019)Collaborative Online Educational Games for Children with Learning Disabilities: Lessons Learned2019 IEEE 5th International Conference on Collaboration and Internet Computing (CIC)10.1109/CIC48465.2019.00032(191-195)Online publication date: Dec-2019

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