학술논문
Learning the Abstract General Task Structure in a Rapidly Changing Task Content.
Document Type
Academic Journal
Author
Pereg M; Department of Psychology and Zlotowski Center for Neuroscience, Ben-Gurion University of the Negev, Beer-Sheva, Israel, 8410501.; Harpaz D; Department of Psychology and Zlotowski Center for Neuroscience, Ben-Gurion University of the Negev, Beer-Sheva, Israel, 8410501.; Sabah K; Department of Psychology, University of Regensburg, Regensburg, Germany.; Ben-Shachar MS; Department of Psychology and Zlotowski Center for Neuroscience, Ben-Gurion University of the Negev, Beer-Sheva, Israel, 8410501.; Amir I; Department of Psychology and Zlotowski Center for Neuroscience, Ben-Gurion University of the Negev, Beer-Sheva, Israel, 8410501.; Dreisbach G; Department of Psychology, University of Regensburg, Regensburg, Germany.; Meiran N; Department of Psychology and Zlotowski Center for Neuroscience, Ben-Gurion University of the Negev, Beer-Sheva, Israel, 8410501.
Source
Publisher: Ubiquity Press Country of Publication: England NLM ID: 101732790 Publication Model: eCollection Cited Medium: Internet ISSN: 2514-4820 (Electronic) Linking ISSN: 25144820 NLM ISO Abbreviation: J Cogn Subsets: PubMed not MEDLINE
Subject
Language
English
Abstract
The ability to learn abstract generalized structures of tasks is crucial for humans to adapt to changing environments and novel tasks. In a series of five experiments, we investigated this ability using a Rapid Instructed Task Learning paradigm (RITL) comprising short miniblocks, each involving two novel stimulus-response rules. Each miniblock included (a) instructions for the novel stimulus-response rules, (b) a NEXT phase involving a constant (familiar) intervening task (0-5 trials), (c) execution of the newly instructed rules (2 trials). The results show that including a NEXT phase (and hence, a prospective memory demand) led to relatively more robust abstract learning as indicated by increasingly faster responses with experiment progress. Multilevel modeling suggests that the prospective memory demand was just another aspect of the abstract task structure which has been learned.
Competing Interests: The authors have no competing interests to declare.
(Copyright: © 2021 The Author(s).)
Competing Interests: The authors have no competing interests to declare.
(Copyright: © 2021 The Author(s).)