Evidence map›Paper›PMID 39920418›Full record

ArticleAttention, perception & psychophysics2025

Type of feedback affects formation of prototype or exemplar representations.

Peijuan Li, Fang Chen, Jianru Feng, Carol A Seger, Zhiya Liu

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In one paragraph

Article in Attention, perception & psychophysics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Peijuan LiCenter for Studies of Psychological Application, School of Psychology, South China Normal University, Guangzhou, 510631, China.ORCID https://orcid.org/0009-0002-5149-4090
Fang ChenCenter for Studies of Psychological Application, School of Psychology, South China Normal University, Guangzhou, 510631, China.
Jianru FengCenter for Studies of Psychological Application, School of Psychology, South China Normal University, Guangzhou, 510631, China.
Carol A SegerCenter for Studies of Psychological Application, School of Psychology, South China Normal University, Guangzhou, 510631, China. carol.seger@colostate.edu.
Zhiya LiuCenter for Studies of Psychological Application, School of Psychology, South China Normal University, Guangzhou, 510631, China. zhiyaliu@scnu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Category learning theories have typically focused on how the underlying category structure affects the category representations acquired by learners. However, other factors such as type of feedback may also affect what representations are learned and utilized, but have received little attention. We used a novel "5/5" categorization task developed from the well-studied 5/4 task and held category structure constant while varying type of feedback: verbal correct/incorrect feedback in Experiment 1, and rewarded differential point-valued feedback in Experiment 2. We used behavioral measures and computational modeling to identify whether participants learned to categorize using exemplar or prototype categorization representations. Correct/incorrect feedback resulted in greater use of exemplar representations and better performance by participants who used exemplar representations, whereas in comparison, rewarded point-valued feedback resulted in relatively greater use of prototype representations. These results indicate that differential reward increased abstraction during category learning. The importance of feedback type in guiding what is learned during category learning should be incorporated into future experimental work and theoretical development.

Indexed as

Concept FormationDiscrimination LearningFeedback, PsychologicalPattern Recognition, VisualAdultAttentionFemaleHumansMaleRewardYoung AdultCategorizationDecision-makingWorking memory

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.