Evidence map›Paper›PMID 41933500›Full record

ArticleBritish journal of psychology (London, England : 1953)2026

Serial dependence in time perception requires consistent motor responses, not shared memory alone.

Jiao Wu, Halid Oğuz Serçe, Zhuanghua Shi

Abstract read
In one paragraph

Article in British journal of psychology (London, England : 1953), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Jiao WuDepartment Psychologie, Ludwig-Maximilians-Universität München, Munich, Germany.ORCID https://orcid.org/0000-0002-0296-6699
Halid Oğuz SerçeBahçeşehir University, Istanbul, Turkey.ORCID https://orcid.org/0000-0001-5129-2048
Zhuanghua ShiDepartment Psychologie, Ludwig-Maximilians-Universität München, Munich, Germany.ORCID https://orcid.org/0000-0003-2388-6695

Funding

China Scholarship CouncilDeutsche ForschungsgemeinschaftErasmus+
6 · The paper itself

Abstract

Serial dependence-the bias from recent experience on present response-has been attributed to shared memory representations, yet previous studies yielded contradictory findings about whether consistent motor responses are required. To address this debate in time perception, we tested whether serial dependence emerges when tasks share identical stimulus features but differ only in response modes. We interleaved temporal reproduction and bisection tasks using a post-cue design that held duration encoding constant while varying motor output across trials. Grounded in binding and retrieval in action control (BRAC) theory, we hypothesized that response-feature binding retrieval drives serial dependence. Using structural equation modelling (SEM), we dissociated perceptual (stimulus-driven) and decisional (response-driven) components. With the same task, we replicated repulsive perceptual serial dependence and attractive decisional carryover. Critically, both effects vanished across tasks despite identical stimulus processing-demonstrating that response-mode consistency, not shared memory alone, drives sequential biases in temporal judgements. Our SEM approach uncovered repulsive perceptual influences that standard regression missed, highlighting its power to isolate overlapping effects. These findings reveal that response-specific reactivation of event files underpins serial dependence in temporal decision-making.

Indexed as

Decision MakingMemoryPsychomotor PerformanceTime PerceptionAdultFemaleHumansMaleYoung Adultdecisional carryovermotor responsesequential biasesserial dependence

Identifiers

PMID41933500
PMCPMC13655987

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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.