Evidence map›Paper›PMID 42677087›Full record

ReviewFrontiers in psychology2026

Interpersonal predictive coding in piano duets: the role of multimodal micro-cues in joint coordination.

Baoli Zhang, Jiarui Yu, Pengfei Liang

Abstract readReview
In one paragraph

Review 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

3 authors.

Baoli ZhangSchool of the Arts, Qingdao University, Qingdao, China.
Jiarui YuBangkokthonburi University, Bangkok, Thailand.
Pengfei LiangCollege of Music, Ludong University, Yantai, Shandong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Piano duets provide an ecologically meaningful model of high-precision joint action. Performers must coordinate note onsets, tempo changes, articulation, and expressive dynamics despite delays in auditory transmission and sensorimotor processing. This temporal constraint suggests that auditory feedback alone cannot fully explain fine-grained interpersonal synchrony. This narrative review examines how pianists may combine prospective prediction with retrospective error correction during joint performance. Drawing on behavioral, computational, motion-capture, and neuroimaging evidence, we propose that performers use learned expectations about a partner's timing and expressive style together with current auditory, visual, and kinematic information to estimate upcoming musical events. Breathing and body sway may provide phrase-level information about tempo and structural boundaries, although much of this evidence comes from non-piano ensembles. Preparatory hand movements and cueing gestures provide more immediate information about impending note onsets, while auditory feedback remains essential for evaluating expectations and correcting subsequent timing. Computational error-correction and coupled-oscillator models offer complementary descriptions of immediate onset adjustment, longer-term tempo adaptation, and reciprocal temporal influence. Current evidence nevertheless relies heavily on simplified tapping tasks, cross-ensemble extrapolation, and correlational measures of neural coupling. Future research should directly manipulate cue reliability in ecologically valid piano-duet tasks and combine behavioral timing, motion capture, eye tracking, and hyperscanning to test how prediction and feedback jointly support role-dependent interpersonal coordination.

Indexed as

forward modelsjoint actionmicro cuespiano duetpredictive coding

Identifiers

PMID42677087
PMCPMC13527597

What Socratic 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 Socratic graph.