Evidence map›Paper›PMID 38348333›Full record

ArticleNeuroscience of consciousness2024

A novel, semi-automatic procedure for generating slow change blindness stimuli.

Haley G Frey, Lua Koenig, Biyu J He, Jan W Brascamp

Abstract read
In one paragraph

Article in Neuroscience of consciousness, 2024. 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. Slow change blindness from serial dependence.bioRxiv : the preprint server for biology · 2025
    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

4 authors.

Haley G FreyDepartment of Psychology, Michigan State University, 316 Physics Road, East Lansing, MI 48824, United States.ORCID https://orcid.org/0009-0002-0542-8893
Lua KoenigNeuroscience Institute, New York University Grossman School of Medicine, 435 East 30th Street, New York, NY 10016, United States.
Biyu J HeNeuroscience Institute, New York University Grossman School of Medicine, 435 East 30th Street, New York, NY 10016, United States.ORCID https://orcid.org/0000-0003-1549-1351
Jan W BrascampDepartment of Psychology, Michigan State University, 316 Physics Road, East Lansing, MI 48824, United States.ORCID https://orcid.org/0000-0001-7955-5479

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Change blindness is the phenomenon that occurs when an observer fails to notice what would seem to be obvious changes in the features of a visual stimulus. Researchers can induce this experimentally by including visual disruptions (such as brief blanks) that coincide with the changes in question. However, change blindness can also occur in the absence of these disruptions if a change occurs sufficiently slowly. This "slow" or "gradual" change blindness phenomenon has not been extensively researched. Two plausible practical reasons for this are that there are few slow-change stimuli available, and that it is difficult to collect trial-specific responses without affecting expectations on later trials. Here, we describe a novel, semi-automatic procedure for quickly generating many slow-change stimuli. This procedure creates stimuli that have been specifically designed to allow assessment of change blindness on individual trials without influencing subsequent trials. We include the results of three validation experiments that demonstrate that these stimuli are effective and suitable for use in systematic studies of slow change blindness.

Indexed as

awarenesschange blindnessslow change blindnessstimulus generationvisual perception

Identifiers

PMID38348333
PMCPMC10860497

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.