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Utilizing a Conversational Agent to Promote Self-efficacy in Children: A Pilot Study on Low Cognitive Ability Children with Attention Deficit Hyperactivity Disorder

Published: 19 April 2023 Publication History

Abstract

Self-efficacy is important for children trying to learn new things. However, children with attention deficit hyperactivity disorder (ADHD), mild intellectual disability (MID), or borderline intellectual function (BIF) have less experience with success and lower self-efficacy compared to other children. This study is based on the hypothesis that the self-efficacy of children is enhanced by independently practicing and completing daily tasks. This study aims to promote self-efficacy in low cognitive ability children with ADHD. We developed a conversational agent that helps children initiate and complete their daily tasks. A pilot study was conducted in which ten children with 1) ADHD and 2) MID or BIF used the conversational agent for eight weeks. The participants exhibited an average compliance rate of 76.1%. Statistical analysis of the survey results revealed improvements in children's self-efficacy and ADHD symptoms. This pilot study discusses new possibilities for conversational agents for low cognitive ability children with ADHD.

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Cited By

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  • (2024)Guiding Students in Using LLMs in Supported Learning Environments: Effects on Interaction Dynamics, Learner Performance, Confidence, and TrustProceedings of the ACM on Human-Computer Interaction10.1145/36870388:CSCW2(1-30)Online publication date: 8-Nov-2024
  • (2024)Collaborative School Mental Health System: Leveraging a Conversational Agent for Enhancing Children's Executive FunctionProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642593(1-17)Online publication date: 11-May-2024
  • (2024)How Far Are We? The Triumphs and Trials of Generative AI in Learning Software EngineeringProceedings of the IEEE/ACM 46th International Conference on Software Engineering10.1145/3597503.3639201(1-13)Online publication date: 20-May-2024

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    cover image ACM Conferences
    CHI EA '23: Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems
    April 2023
    3914 pages
    ISBN:9781450394222
    DOI:10.1145/3544549
    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: 19 April 2023

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    Author Tags

    1. Assistive Technology
    2. Attention Deficit Hyperactivity Disorder (ADHD)
    3. Borderline Intellectual Functioning (BIF)
    4. Conversational Agent
    5. Mild Intellectual Disability (MID)

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    View all
    • (2024)Guiding Students in Using LLMs in Supported Learning Environments: Effects on Interaction Dynamics, Learner Performance, Confidence, and TrustProceedings of the ACM on Human-Computer Interaction10.1145/36870388:CSCW2(1-30)Online publication date: 8-Nov-2024
    • (2024)Collaborative School Mental Health System: Leveraging a Conversational Agent for Enhancing Children's Executive FunctionProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642593(1-17)Online publication date: 11-May-2024
    • (2024)How Far Are We? The Triumphs and Trials of Generative AI in Learning Software EngineeringProceedings of the IEEE/ACM 46th International Conference on Software Engineering10.1145/3597503.3639201(1-13)Online publication date: 20-May-2024

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