Evidence map›Paper›PMID 40747967›Full record

ArticleJournal of vision2025

Peripheral overconfidence in a scene categorization task.

Nino Sharvashidze, Matteo Toscani, Matteo Valsecchi

Abstract read
In one paragraph

Article in Journal of vision, 2025. 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. How Does Peripheral Vision Feel Rich? A Selective Review.Journal of eye movement research · 2026
    Review
  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.

Nino SharvashidzeDipartimento di Psicologia, Università di Bologna, Bologna, Italy.
Matteo ToscaniPsychology Department, Bournemouth University, Poole, UK.
Matteo ValsecchiDipartimento di Psicologia, Università di Bologna, Bologna, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Our ability to detect and discriminate stimuli differs across the visual field. Does metaperception (i.e., visual confidence) follow these differences? Evidence is mixed, as studies have reported overconfidence in peripheral detection tasks and underconfidence in a peripheral local orientation discrimination task. Here, we tested whether overconfidence can arise in a task that aligns with the strengths of peripheral vision: rapid scene categorization. In each interval, our participants viewed a scene only in the periphery (scotoma) or only in the center (window) and categorized it (desert, beach, mountain, or forest). Subsequently, they indicated the interval for which they were more confident in their judgment. Task difficulty was manipulated by varying the scotoma and window size. Accuracy decreased with the increasing size of the scotoma and increased with the increasing size of the window. We computed the probability of higher confidence in the periphery as a function of the expected performance difference between the two conditions. Participants' points of equal confidence were systematically shifted toward higher central perceptual performance, indicating that higher visibility in the center was needed to produce matched perceptual confidence and demonstrating overconfidence in the periphery. This suggests that changing the task from local orientation discrimination to global scene categorization (i.e., a task where peripheral vision outperforms foveal vision) reversed the metaperceptual bias. Periphery is suited for detecting objects and processing global information, but not for discriminating fine details or local features. Metacognitive judgments seem to follow these inherent capabilities and constraints of peripheral vision.

Indexed as

Discrimination, PsychologicalMetacognitionScotomaVisual FieldsVisual PerceptionAdultFemaleHumansJudgmentMalePhotic StimulationYoung Adult

Identifiers

PMID40747967
PMCPMC12320901

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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.