TY - GEN
T1 - Is AI Ready to Support Speech Therapy for Children? A Systematic Review of AI-Enabled Mobile Apps for Pediatric Speech Therapy
AU - Shi, Zhonghao
AU - Chung, Daeun
AU - Du, Yao
AU - Zhang, Jiaxin
AU - Raina, Shivani
AU - Mataric, Maja
N1 - Publisher Copyright:
© 2025 Copyright held by the owner/author(s).
PY - 2025/6/23
Y1 - 2025/6/23
N2 - Artificial intelligence (AI) has demonstrated significant potential in supporting pediatric speech therapy. However, no systematic review has examined the quality and expanding landscape of commercially available AI-enabled speech therapy mobile apps for children. We conducted a systematic review and analysis of 21 identified commercially available AI-enabled apps designed for speech-sound practice with children. Using 15 evaluation criteria consolidated and extended from prior HCI design guidelines for human-AI and child-AI interaction, our content and risk analysis revealed that existing apps have not yet leveraged the full potential of existing AI tools, and often fail to rigorously adhere to the best recommended practice. Incorporating feedback from the speech therapy community, we categorized our findings into four areas of ethical concern. To address these concerns, we propose actionable recommendations for app designers, families, and speech therapists to guide more ethical development and safe use of AI-enabled applications for pediatric speech therapy.
AB - Artificial intelligence (AI) has demonstrated significant potential in supporting pediatric speech therapy. However, no systematic review has examined the quality and expanding landscape of commercially available AI-enabled speech therapy mobile apps for children. We conducted a systematic review and analysis of 21 identified commercially available AI-enabled apps designed for speech-sound practice with children. Using 15 evaluation criteria consolidated and extended from prior HCI design guidelines for human-AI and child-AI interaction, our content and risk analysis revealed that existing apps have not yet leveraged the full potential of existing AI tools, and often fail to rigorously adhere to the best recommended practice. Incorporating feedback from the speech therapy community, we categorized our findings into four areas of ethical concern. To address these concerns, we propose actionable recommendations for app designers, families, and speech therapists to guide more ethical development and safe use of AI-enabled applications for pediatric speech therapy.
UR - https://www.scopus.com/pages/publications/105010311487
U2 - 10.1145/3713043.3728841
DO - 10.1145/3713043.3728841
M3 - Conference contribution
AN - SCOPUS:105010311487
T3 - Proceedings - 24th Annual ACM Interaction Design and Children Conference, IDC 2025
SP - 479
EP - 493
BT - Proceedings - 24th Annual ACM Interaction Design and Children Conference, IDC 2025
PB - Association for Computing Machinery, Inc
T2 - 24th Annual ACM Interaction Design and Children Conference, IDC 2025
Y2 - 23 June 2025 through 26 June 2025
ER -