Claims

Learning in-depth semantic associations with novel objects facilitates recognition and attenuates viewpoint dependency

Claim · All claims
Evidence · 1 study · review r2 · q3
Currency · newest study 2014 · not yet checked against its sources · not reviewed by a person

Subclaims

Reading the evidence codes

q is the design tier, i the impact, n the sample, and the kind with its r the rigour judged within that kind: what each code means.

This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.

q3 i? Associating clusters of distinctive semantic features with novel objects facilitates discrimination across viewpoints, and this attenuation occurs for in-depth semantic associations but not for non-semantic verbal labels. → Collins 2014

Evidence

Collins 2014

Collins, Jessica A., & Olson, Ingrid R. (2014). Knowledge is Power: How Conceptual Knowledge Transforms Visual Cognition. Psychonomic bulletin & review. https://doi.org/10.3758/s13423-013-0564-3

q3 · i? · review · r2

The review reports three behavioral training studies in which participants learned clusters of three semantic features per novel object and then performed a perceptual matching task with the second object shown at 0°, 30°, 60°, or 120° viewpoints. No effect sizes are printed.

"the viewpoint dependency of object recognition was attenuated for objects that had been associated with in-depth semantic associations (Curby et al., 2004), but not for those associated with non-semantic verbal labels (Collins & Curby, 2013)"

Discussion

Page metadata
Field Value
type claim
id semantic-associations-attenuate-viewpoint-dependency
title Learning in-depth semantic associations with novel objects facilitates recognition and attenuates viewpoint dependency
description Learning in-depth semantic associations with novel objects facilitates recognition and attenuates viewpoint dependency
status review
evidence_strength moderate
newest_evidence 2014
generated by process:wiki-ingest on 2026-10-17
trust unverified — no one has confirmed this page's content
sources 1 — collins-2014

Frontmatter is the page's machine-readable record — see the Schema & Guide.