Evidence map›Paper›PMID 31893730›Full record

ArticleThe Journal of the Acoustical Society of America2019

Individual predictors of response to biofeedback training for second-language production.

Joanne Jingwen Li, Samantha Ayala, Daphna Harel, Douglas M Shiller, Tara McAllister

Open access · greenAbstract read
In one paragraph

Article in The Journal of the Acoustical Society of America, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.6field-weighted citation impact, top 15% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 18 citations in OpenAlex.

  1. Trial
  2. Article
  3. MagTrack: A Wearable Tongue Motion Tracking System for Silent Speech Interfaces.Journal of speech, language, and hearing research : JSLHR · 2023
    Article
  4. Auditory and Somatosensory Development for Speech in Later Childhood.Journal of speech, language, and hearing research : JSLHR · 2023
    Article
  5. Tutorial: Using Visual-Acoustic Biofeedback for Speech Sound Training.American journal of speech-language pathology · 2023
    Review
  6. Does Voicing Affect Patterns of Transfer in Nonnative Cluster Learning?Journal of speech, language, and hearing research : JSLHR · 2021
    Article
  7. Article
  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 2 countries.

Joanne Jingwen LiDepartment of Communicative Sciences and Disorders, New York University, 665 Broadway, Suite 900, New York, New York 10012, USA.
Samantha AyalaDepartment of Communicative Sciences and Disorders, New York University, 665 Broadway, Suite 900, New York, New York 10012, USA.
Daphna HarelDepartment of Applied Statistics, Social Science, and Humanities, New York University, 246 Greene Street, 3rd Floor, New York, New York 10003, USA.
Douglas M ShillerÉcole d'orthophonie et d'audiologie, Université de Montréal, Case Postale 6128, Succursale Centre-ville, Montréal, Québec, H3C 3J7, Canada.
Tara McAllisterDepartment of Communicative Sciences and Disorders, New York University, 665 Broadway, Suite 900, New York, New York 10012, USA.
New York University · USUniversité de Montréal · CA

Funding

Biofeedback-Enhanced Treatment for Speech Sound Disorder: Randomized Controlled Trial and Delineation of Sensorimotor SubtypesR01DC017476 · NIDCD · NEW YORK UNIVERSITY · PI Tara McAllister · 2019 to 2026
$5.3M
Improving clinical speech remediation with ultrasound technologyR01DC013668 · NIDCD · CUNY GRADUATE SCH AND UNIV CTR · PI BOYCE, SUZANNE ELIZABETH, WHALEN, DOUGLAS H · 2014 to 2018
$3.4M
NIDCD NIH HHS R01 DC013668NIDCD NIH HHS R01 DC017476
6 · The paper itself

Abstract

While recent research suggests that visual biofeedback can facilitate speech production training in clinical populations and second language (L2) learners, individual learners' responsiveness to biofeedback is highly variable. This study investigated the hypothesis that the type of biofeedback provided, visual-acoustic versus ultrasound, could interact with individuals' acuity in auditory and somatosensory domains. Specifically, it was hypothesized that learners with lower acuity in a sensory domain would show greater learning in response to biofeedback targeting that domain. Production variability and phonological awareness were also investigated as predictors. Sixty female native speakers of English received 30 min of training, randomly assigned to feature visual-acoustic or ultrasound biofeedback, for each of two Mandarin vowels. On average, participants showed a moderate magnitude of improvement (decrease in Euclidean distance from a native-speaker target) across both vowels and biofeedback conditions. The hypothesis of an interaction between sensory acuity and biofeedback type was not supported, but phonological awareness and production variability were predictive of learning gains, consistent with previous research. Specifically, high phonological awareness and low production variability post-training were associated with better outcomes, although these effects were mediated by vowel target. This line of research could have implications for personalized learning in both L2 pedagogy and clinical practice.

Indexed as

LanguageAcoustic StimulationAdultBiofeedback, PsychologyFemaleHumansLearningMaleMultilingualismPhoneticsSpeech

Identifiers

PMID31893730
PMCPMC6937206
OpenAlexW2997046140

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.