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Self-Insight in Probabilistic Category Learning

Bibliographic Data

ID10124676
AuthorsFerenc Kemény (0000-0003-2961-3014, Budapest University of Technology and Economics, corresponding author), Ágnes Lukács (0000-0002-6338-1715, Budapest University of Technology and Economics)
Year2012
Volume140
Issue1
Pages57-81
Publication date2012-12-12
Open AccessNo
TypeARTICLE
VenueThe Journal of General Psychology (JOURNAL)
Journal identifiersISSN: 0022-1309 • E-ISSN: 1940-0888
PublisherTaylor & Francis (PUBLISHER • GB)
DOI10.1080/00221309.2012.735284
PMID24837346
OpenAlexW1985620843
LanguageEN
Citations received3
References cited30

The Weather Prediction (WP) task is one of the most extensively used Probabilistic Category Learning tasks. Although it has been usually treated as an implicit task, its implicit nature has been questioned with focus on the structural knowledge of the acquired information. The goal of the current studies is to test if participants acquire explicit knowledge on the WP task. Experiment 1 addresses this question directly with the help of a subjective measure on self-insight in two groups: an experimental group facing the WP task and a control group with a task lacking predictive structure. Participants in the experimental group produced more explicit reports than the control group, and only on trials with explicit knowledge was their performance higher. Experiment 2 provided further evidence against the implicitness of the task by showing that decreasing stimulus presentation times extends the learning process, but does not result in more implicit processes

Cognition · Cognitive psychology · Cognitive science · Implicit knowledge · Implicit Learning · Probabilistic logic · Stimulus (psychology · Task (project management · Advanced Text Analysis Techniques · Artificial Intelligence · Child and Animal Learning Development · Computer Science · Decision-Making and Behavioral Economics · Psychology · Social Psychology

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Citations per year0.23
Citation span2013 - 2025 (13)
Highly citedNo

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