Evidence map›Paper›PMID 41703366›Full record

ArticlePsychonomic bulletin & review2026

Signatures proposed to index perceptual effects emerge in a purely cognitive task.

Sixing Chen, Michaela Bocheva, Dobromir Rahnev

Abstract read
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In one paragraph

Article in Psychonomic bulletin & review, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Sixing ChenDepartment of Psychology, New York University, 6 Washington Place, New York, NY, 10003, USA. sixing.chen@nyu.edu.
Michaela BochevaDepartment of Psychology, Yale University, New Haven, CT, USA.
Dobromir RahnevSchool of Psychology, Georgia Institute of Technology, Atlanta, GA, USA.

Funding

Uncovering the Architecture of MetacognitionR01MH119189 · NIMH · GEORGIA INSTITUTE OF TECHNOLOGY · PI RAHNEV, DOBROMIR · 2020 to 2024
$1.5M
NIMH NIH HHS R01 MH119189
6 · The paper itself

Abstract

A central question in many studies on perception and consciousness is whether the effects of a given manipulation are perceptual or cognitive. Typically, studies seek to find evidence that the raw sensory experience has been altered-that is, a manipulation produces perceptual rather than cognitive effects. Here, we test two specific proposals for behavioral signatures that could allow this type of inference. First, a long-standing proposition is that different parameters of the drift-diffusion model (DDM) map onto different effects, such that a drift-rate bias indicates a perceptual effect, whereas a starting point shift indicates a cognitive effect. Second, a newer proposal holds that, when plotted as a function of a sensory feature, changes in the peak of the distributions for confidence and reaction time (RT) imply that a given manipulation's effects are perceptual. Here, we test both proposals. We designed a purely cognitive task where no effects can be perceptual and examined whether the proposed signatures of perceptual effects occur in this task. Participants viewed numbers generated by two distributions and indicated which distribution the numbers likely came from. In separate conditions we manipulated prior beliefs and rewards related to each distribution. We found that both manipulations elicited the same signatures previously proposed as indicative of purely perceptual effects. Our results demonstrate that individual DDM parameters and the peaks of confidence and RT distributions in isolation are insufficient to distinguish between perceptual and cognitive effects.

Indexed as

CognitionModels, PsychologicalPerceptionAdultHumansReaction TimeYoung AdultConfidenceDrift–diffusion modelPerceptionPerceptual decision-makingRT

Identifiers

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.