Evidence map›Paper›PMID 42553235›Full record

ArticleFrontiers in psychology2026

The effects of AI second opinions on collaborative confidence and decision-making: evidence from a controlled study of postgraduate vocal accompanists.

Tong Zhu, Li Xia

Abstract read
In one paragraph

Article in Frontiers in psychology, 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

2 authors.

Tong ZhuKeimyung University, Daegu, Republic of Korea.
Li Xia *Keimyung University, Daegu, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Artificial intelligence (AI) is increasingly integrated into higher education, yet empirical evidence remains limited on how AI-generated "second opinions" influence psychological and cognitive outcomes in artistic training contexts. Objective: This study investigates the effects of AI "second opinions" on collaborative self-efficacy, music performance anxiety, and decision-making style among postgraduate students specialising in vocal accompaniment. Results: The experimental group showed significantly higher posttest self-efficacy than the control group ( Conclusion: AI "second opinions" can effectively enhance self-efficacy and reduce performance anxiety in postgraduate music accompaniment training. However, they do not significantly alter decision-making styles in the short term, suggesting that AI primarily functions as an augmentative tool supporting human interpretative agency rather than reshaping cognitive patterns.

Indexed as

decision-making stylehuman–AI collaborationmusic educationperformance anxietyself-efficacy

Identifiers

PMID42553235
PMCPMC13433448

What OpenQuestion holds

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LicenceCC BY
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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.