Evidence map›Paper›PMID 26276518›Full record

ArticleBehavior research methods2016

Measuring nonvisual knowledge about object categories: The Semantic Vanderbilt Expertise Test.

Ana E Van Gulick, Rankin W McGugin, Isabel Gauthier

Abstract read
In one paragraph

Article in Behavior research methods, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Trial
  2. The Tuned Cortex: Convergent Expertise-Related Structural and Functional Remodeling across the Adult Lifespan.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    Article
  3. Article
  4. Article
  5. The structure of prior knowledge enhances memory in experts by reducing interference.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. 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.

Ana E Van GulickCenter for the Neural Basis of Cognition, Carnegie Mellon University, Pittsburgh, PA, USA. anavangulick@cmu.edu.
Rankin W McGuginDepartment of Psychology, Vanderbilt University, Nashville, TN, USA.
Isabel GauthierDepartment of Psychology, Vanderbilt University, Nashville, TN, USA.

Funding

Shop Module CoreP30EY008126 · NEI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Kevin L Schey · 1989 to 2026
$19.6M
Research Project: Sensory and Multisensory Contributions to AutismU54HD083211 · NICHD · VANDERBILT UNIVERSITY MEDICAL CENTER · PI DYKENS, ELISABETH MAY · 2015 to 2019
$7.1M
THE ROLE OF VISUAL EXPERTISE IN LETTER PERCEPTIONR01EY013441 · NEI · VANDERBILT UNIVERSITY · PI GAUTHIER, ISABEL · 2001 to 2012
$2.8M
NEI NIH HHS P30 EY008126NEI NIH HHS R01 EY013441NICHD NIH HHS U54 HD083211
6 · The paper itself

Abstract

How much do people differ in their abilities to recognize objects, and what is the source of these differences? To address the first question, psychologists have created visual learning tests including the Cambridge Face Memory Test (Duchaine & Nakayama, 2006) and the Vanderbilt Expertise Test (VET; McGugin et al., 2012). The second question requires consideration of the influences of both innate potential and experience, but experience is difficult to measure. One solution is to measure the products of experience beyond perceptual knowledge-specifically, nonvisual semantic knowledge. For instance, the relation between semantic and perceptual knowledge can help clarify the nature of object recognition deficits in brain-damaged patients (Barton, Hanif, & Ashraf, Brain, 132, 3456-3466, 2009). We present a reliable measure of nonperceptual knowledge in a format applicable across categories. The Semantic Vanderbilt Expertise Test (SVET) measures knowledge of relevant category-specific nomenclature. We present SVETs for eight categories: cars, planes, Transformers, dinosaurs, shoes, birds, leaves, and mushrooms. The SVET demonstrated good reliability and domain-specific validity. We found partial support for the idea that the only source of domain-specific shared variance between the VET and SVET is experience with a category. We also demonstrated the utility of the SVET-Bird in experts. The SVET can facilitate the study of individual differences in visual recognition.

Indexed as

KnowledgePsycholinguisticsSemanticsAdultAgedAged, 80 and overFaceFemaleHumansIndividualityInternetMaleMemoryMiddle AgedRecognition, PsychologyReproducibility of ResultsExperienceIndividual differencesMeasurementSemantic knowledgeVisual object recognition

Identifiers

PMID26276518
PMCPMC4754162

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.