Evidence map›Paper›PMID 33244734›Full record

ArticleAttention, perception & psychophysics2021

Temporal bisection is influenced by ensemble statistics of the stimulus set.

Xiuna Zhu, Cemre Baykan, Hermann J Müller, Zhuanghua Shi

Abstract read
In one paragraph

Article in Attention, perception & psychophysics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Influences of temporal order in temporal reproduction.Psychonomic bulletin & review · 2023
    Article
  4. Article
  5. Article
  6. 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

4 authors.

Xiuna ZhuGeneral and Experimental Psychology, Department of Psychology, LMU Munich, 80802, Munich, Germany.
Cemre BaykanGeneral and Experimental Psychology, Department of Psychology, LMU Munich, 80802, Munich, Germany.
Hermann J MüllerGeneral and Experimental Psychology, Department of Psychology, LMU Munich, 80802, Munich, Germany.
Zhuanghua ShiGeneral and Experimental Psychology, Department of Psychology, LMU Munich, 80802, Munich, Germany. strongway@psy.lmu.de.ORCID http://orcid.org/0000-0003-2388-6695

Funding

Deutsche Forschungsgemeinschaft SH 166/3-2Deutscher Akademischer Austauschdienst 57440921
6 · The paper itself

Abstract

Although humans are well capable of precise time measurement, their duration judgments are nevertheless susceptible to temporal context. Previous research on temporal bisection has shown that duration comparisons are influenced by both stimulus spacing and ensemble statistics. However, theories proposed to account for bisection performance lack a plausible justification of how the effects of stimulus spacing and ensemble statistics are actually combined in temporal judgments. To explain the various contextual effects in temporal bisection, we develop a unified ensemble-distribution account (EDA), which assumes that the mean and variance of the duration set serve as a reference, rather than the short and long standards, in duration comparison. To validate this account, we conducted three experiments that varied the stimulus spacing (Experiment 1), the frequency of the probed durations (Experiment 2), and the variability of the probed durations (Experiment 3). The results revealed significant shifts of the bisection point in Experiments 1 and 2, and a change of the sensitivity of temporal judgments in Experiment 3-which were all well predicted by EDA. In fact, comparison of EDA to the extant prior accounts showed that using ensemble statistics can parsimoniously explain various stimulus set-related factors (e.g., spacing, frequency, variance) that influence temporal judgments.

Indexed as

Time PerceptionHumansJudgmentTime FactorsCentral tendencyEnsemble perceptionStimulus spacingTemporal bisection

Identifiers

PMID33244734
PMCPMC8049899

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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.