The purpose of this research study is to evaluate the effectiveness of a hybrid Artificial Intelligence-assisted speech therapy model, which combines the use of an AI speech therapist (Jessica) with traditional speech therapy sessions led by a Speech-Language Pathologist (SLP). This study aims to determine whether the hybrid model improves articulation in children more effectively than traditional SLP-only therapy. Over the course of 8 weeks, participants will receive weekly therapy sessions, and those in the hybrid therapy group will also practice with Jessica between sessions. The study will also gather feedback from parents and speech therapists to assess their experiences and satisfaction with treatment.
The purpose of this research study is to evaluate the effectiveness of a hybrid Artificial Intelligence-assisted speech therapy model, which combines the use of an AI speech therapist (Jessica) with traditional speech therapy sessions led by a Speech-Language Pathologist (SLP). This study aims to determine whether the hybrid model improves articulation in children more effectively than traditional SLP-only therapy. Over the course of 8 weeks, participants will receive weekly therapy sessions, and those in the hybrid therapy group will also practice with Jessica between sessions. The study will also gather feedback from parents and speech therapists to assess their experiences and satisfaction with treatment.
Evaluating the Effectiveness of Hybrid and Traditional Speech Therapy for /ɹ/ and /s/ Sound Production
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Syracuse University, Syracuse, New York, United States, 13244
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
For general information about clinical research, read Learn About Studies.
5 Years to 17 Years
ALL
No
Syracuse University,
James Nehlig, STUDY_DIRECTOR, Better Speech
Ranan Lachman, STUDY_DIRECTOR, Better Speech
2026-02