Evidence map›Paper›PMID 42001365›Full record

ArticleApplied psychophysiology and biofeedback2026

Augmented Reality in Vocal Technique Training: Interactive Visualizations of Breath and Posture Control Using Magic Keys AR.

Shuang Wan

Abstract read
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In one paragraph

Article in Applied psychophysiology and biofeedback, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

1 author.

Shuang WanDepartment of Music, Jiangxi Institute of Applied Science and Technology, NanChang, China. 18379152300@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to evaluate the effectiveness of Magic Keys AR as a tool for accelerating vocal learning through synchronized monitoring of breathing, posture, and acoustics. The findings indicate that augmented reality facilitates faster vocal mastery, allowing students to visualize three parameters simultaneously-breathing, posture, and sound. The experiment involved 120 conservatory students aged 18-25 from three Chinese cities, divided into two groups of 60 participants each: the experimental group trained using the Magic Keys AR system, while the control group followed traditional mirror-based instruction. The training lasted 16 weeks. Respiration was measured via plethysmography, body movements were tracked across 37 anatomical points, and voice was recorded in high resolution (96 kHz/24 bit). Students using AR increased phonation duration by 34.1% (up to 16.5 s), while the control group showed a 10.4% increase (up to 13.8 s); the difference was statistically significant (p < 0.001, large effect size: d = 1.07). Vocal instability (jitter) decreased by 28.1% in the AR group versus 9.9% in the control, and shimmer decreased by 31.3% versus 8.2%, respectively. Retention rates reached 91% in the AR group and 68% in the control, with 89% of AR-trained students maintaining skills three months post-training. Machine learning algorithms predicted student success with 84.2% accuracy, identifying proprioceptive awareness (β = 0.34) as the strongest predictor. Conservatories are projected to recover AR investment 2.7 times faster due to reduced vocal strain, accelerated technical mastery, and lower dropout rates.

Indexed as

AR-based learningMultimodal pedagogyPhonation parametersPosture alignmentRespiratory visualization

Identifiers

PMID42001365

What OpenQuestion holds

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Registered trials

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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.