TY - JOUR
T1 - Enhancing intervention for residual rhotic errors via app-delivered biofeedback
T2 - A case study
AU - Byun, Tara Mc Allister
AU - Campbell, Heather
AU - Carey, Helen
AU - Liang, Wendy
AU - Park, Tae Hong
AU - Svirsky, Mario
N1 - Funding Information:
This project was supported by NIH NIDCD grant R03DC012883 and by funding from the American Speech- Language-Hearing Foundation (Clinical Research Grant), New York University (Research Challenge Fund), and Steinhardt School of Culture, Education, and Human Development (Technology Award). The authors gratefully acknowledge the contributions of the following individuals: Gui Bueno, R. Luke DuBois, Jonathan Forsyth, Timothy Sanders, and Nikolai Steklov.
Publisher Copyright:
© 2017 American Speech-Language-Hearing Association.
PY - 2017
Y1 - 2017
N2 - Purpose: Recent research suggests that visual-acoustic biofeedback can be an effective treatment for residual speech errors, but adoption remains limited due to barriers including high cost and lack of familiarity with the technology. This case study reports results from the first participant to complete a course of visual-acoustic biofeedback using a not-for-profit iOS app, Speech Therapist’s App for /r/ Treatment. Method: App-based biofeedback treatment for rhotic misarticulation was provided in weekly 30-min sessions for 20 weeks. Within-treatment progress was documented using clinician perceptual ratings and acoustic measures. Generalization gains were assessed using acoustic measures of word probes elicited during baseline, treatment, and maintenance sessions. Results: Both clinician ratings and acoustic measures indicated that the participant significantly improved her rhotic production accuracy in trials elicited during treatment sessions. However, these gains did not transfer to generalization probes. Conclusions: This study provides a proof-of-concept demonstration that app-based biofeedback is a viable alternative to costlier dedicated systems. Generalization of gains to contexts without biofeedback remains a challenge that requires further study. App-delivered biofeedback could enable clinician–research partnerships that would strengthen the evidence base while providing enhanced treatment for children with residual rhotic errors.
AB - Purpose: Recent research suggests that visual-acoustic biofeedback can be an effective treatment for residual speech errors, but adoption remains limited due to barriers including high cost and lack of familiarity with the technology. This case study reports results from the first participant to complete a course of visual-acoustic biofeedback using a not-for-profit iOS app, Speech Therapist’s App for /r/ Treatment. Method: App-based biofeedback treatment for rhotic misarticulation was provided in weekly 30-min sessions for 20 weeks. Within-treatment progress was documented using clinician perceptual ratings and acoustic measures. Generalization gains were assessed using acoustic measures of word probes elicited during baseline, treatment, and maintenance sessions. Results: Both clinician ratings and acoustic measures indicated that the participant significantly improved her rhotic production accuracy in trials elicited during treatment sessions. However, these gains did not transfer to generalization probes. Conclusions: This study provides a proof-of-concept demonstration that app-based biofeedback is a viable alternative to costlier dedicated systems. Generalization of gains to contexts without biofeedback remains a challenge that requires further study. App-delivered biofeedback could enable clinician–research partnerships that would strengthen the evidence base while providing enhanced treatment for children with residual rhotic errors.
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U2 - 10.1044/2017_JSLHR-S-16-0248
DO - 10.1044/2017_JSLHR-S-16-0248
M3 - Article
C2 - 28655050
AN - SCOPUS:85021235481
SN - 1092-4388
VL - 60
SP - 1810
EP - 1817
JO - Journal of Speech, Language, and Hearing Research
JF - Journal of Speech, Language, and Hearing Research
IS - 6Special Issue
ER -