``I want to think like an SLP'': A Design Exploration of AI-Supported Home Practice in Speech Therapy

要旨

Parents of children in speech therapy play a crucial role in delivering consistent, high-quality home practice, which is essential for helping children generalize new speech skills to everyday situations. However, this responsibility is often complicated by uncertainties in implementing therapy techniques and keeping children engaged. In this study, we explore how varying levels of AI oversight can provide informational, emotional, and practical support to parents during home speech therapy practice. Through semi-structured interviews with 20 parents, we identified key challenges they face and their ideas for AI assistance. Using these insights, we developed six design concepts, which were then evaluated by 20 Speech-Language Pathologists (SLPs) for their potential impact, usability, and alignment with therapy goals. Our findings contribute to the discourse on AI’s role in supporting therapeutic practices, offering design considerations that address the needs and values of both families and professionals.

著者
Aayushi Dangol
University of Washington, SEATTLE, Washington, United States
Aaleyah Lewis
University of Washington, Seattle, Washington, United States
Hyewon Suh
University of Washington, Seattle, Washington, United States
Xuesi Hong
University of Washington, SEATTLE, Washington, United States
Hedda Meadan
University of North Carolina at Charlotte, Charlotte, North Carolina, United States
James Fogarty
University of Washington, Seattle, Washington, United States
Julie A.. Kientz
University of Washington, Seattle, Washington, United States
DOI

10.1145/3706598.3713986

論文URL

https://dl.acm.org/doi/10.1145/3706598.3713986

動画

会議: CHI 2025

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2025.acm.org/)

セッション: Emotion and Behavior Change

Annex Hall F204
7 件の発表
2025-04-30 20:10:00
2025-04-30 21:40:00
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