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Is there hierarchical generalization in response-effect learning?
Ideomotor theory is an influential approach to understand goal-directed behavior. In this framework, response-effect (R-E) learning is assumed as a prerequisite for voluntary action: Once associations between motor actions and their effects in the environment have been formed, the anticipation of th...
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Published in: | Experimental brain research 2023-01, Vol.241 (1), p.135-144 |
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description | Ideomotor theory is an influential approach to understand goal-directed behavior. In this framework, response-effect (R-E) learning is assumed as a prerequisite for voluntary action: Once associations between motor actions and their effects in the environment have been formed, the anticipation of these effects will automatically activate the associated motor pattern. R-E learning is typically investigated with (induction) experiments that comprise an acquisition phase, where R-E associations are presumably learned, and a subsequent test phase, where the previous effects serve as stimuli for a response. While most studies used stimuli in the test phase that were identical to the effects in the acquisition phase, one study reported generalization from exemplars to their superordinate category (Hommel et al., Vis Cogn 10:965–986, 2003, Exp. 1). However, studies on so-called R-E compatibility did not report such generalization. We aimed to conceptually replicate Experiment 1 of Hommel et al. (Vis Cogn 10:965–986, 2003) with a free-choice test phase. While we did observe effects consistent with R-E learning when the effects in the acquisition phase were identical to the stimuli in the test phase, we did not observe evidence for generalization. We discuss this with regard to recent studies suggesting that individual response biases might rather reflect rapidly inferred propositional knowledge instead of learned R-E associations. |
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In this framework, response-effect (R-E) learning is assumed as a prerequisite for voluntary action: Once associations between motor actions and their effects in the environment have been formed, the anticipation of these effects will automatically activate the associated motor pattern. R-E learning is typically investigated with (induction) experiments that comprise an acquisition phase, where R-E associations are presumably learned, and a subsequent test phase, where the previous effects serve as stimuli for a response. While most studies used stimuli in the test phase that were identical to the effects in the acquisition phase, one study reported generalization from exemplars to their superordinate category (Hommel et al., Vis Cogn 10:965–986, 2003, Exp. 1). However, studies on so-called R-E compatibility did not report such generalization. We aimed to conceptually replicate Experiment 1 of Hommel et al. (Vis Cogn 10:965–986, 2003) with a free-choice test phase. While we did observe effects consistent with R-E learning when the effects in the acquisition phase were identical to the stimuli in the test phase, we did not observe evidence for generalization. We discuss this with regard to recent studies suggesting that individual response biases might rather reflect rapidly inferred propositional knowledge instead of learned R-E associations.</description><identifier>ISSN: 0014-4819</identifier><identifier>EISSN: 1432-1106</identifier><identifier>DOI: 10.1007/s00221-022-06473-w</identifier><identifier>PMID: 36394593</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Analysis ; Bias ; Biomedical and Life Sciences ; Biomedicine ; Brain research ; Cognition ; Experiments ; Generalization, Psychological ; Human influences ; Humans ; Learning - physiology ; Learning strategies ; Motor skill learning ; Neurology ; Neurosciences ; Research Article ; Response bias</subject><ispartof>Experimental brain research, 2023-01, Vol.241 (1), p.135-144</ispartof><rights>The Author(s) 2022</rights><rights>2022. The Author(s).</rights><rights>COPYRIGHT 2023 Springer</rights><rights>The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). 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In this framework, response-effect (R-E) learning is assumed as a prerequisite for voluntary action: Once associations between motor actions and their effects in the environment have been formed, the anticipation of these effects will automatically activate the associated motor pattern. R-E learning is typically investigated with (induction) experiments that comprise an acquisition phase, where R-E associations are presumably learned, and a subsequent test phase, where the previous effects serve as stimuli for a response. While most studies used stimuli in the test phase that were identical to the effects in the acquisition phase, one study reported generalization from exemplars to their superordinate category (Hommel et al., Vis Cogn 10:965–986, 2003, Exp. 1). However, studies on so-called R-E compatibility did not report such generalization. We aimed to conceptually replicate Experiment 1 of Hommel et al. (Vis Cogn 10:965–986, 2003) with a free-choice test phase. While we did observe effects consistent with R-E learning when the effects in the acquisition phase were identical to the stimuli in the test phase, we did not observe evidence for generalization. We discuss this with regard to recent studies suggesting that individual response biases might rather reflect rapidly inferred propositional knowledge instead of learned R-E associations.</description><subject>Analysis</subject><subject>Bias</subject><subject>Biomedical and Life Sciences</subject><subject>Biomedicine</subject><subject>Brain research</subject><subject>Cognition</subject><subject>Experiments</subject><subject>Generalization, Psychological</subject><subject>Human influences</subject><subject>Humans</subject><subject>Learning - physiology</subject><subject>Learning strategies</subject><subject>Motor skill learning</subject><subject>Neurology</subject><subject>Neurosciences</subject><subject>Research Article</subject><subject>Response bias</subject><issn>0014-4819</issn><issn>1432-1106</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>ALSLI</sourceid><sourceid>M2R</sourceid><recordid>eNp9kl1rFDEUhoModlv9A17IgCD1Ymq-JpncKEvxY6Eg-HEdMpkzMymzyZrMWPXXm3Fr2xWRwAkned43yclB6AnBZwRj-TJhTCkpcyix4JKVV_fQinBGS0KwuI9WGBNe8pqoI3Sc0uWSMokfoiMmmOKVYiu03qRiGiBCMTiIJtrBWTMWPficje6nmVzwhfNFhLQLPkEJXQd2KkYw0Tvfv36EHnRmTPD4ej5BX96--Xz-vrz48G5zvr4obaXwVFLS0oYJo6SwkreECtVUHZG1lLwxTaOwsKazohUgSVUxWVHVGNOyRnYNs5KdoFd7393cbKG14Kd8Q72LbmviDx2M04c73g26D9-0qiWu6WJwem0Qw9cZ0qS3LlkYR-MhzElnRHJJGK0y-uwv9DLM0efnZUrUlawpVbdUb0bQznchn2sXU72WjHNScbF4nf2DyqOFrbPBQ-fy-oHgxYEgMxN8n3ozp6Q3nz4ess_vsAOYcRpSGOfl19IhSPegjSGlCN1N4QjWSzfpfTfpHPTvbtJXWfT0bslvJH_aJwNsD6S85XuIt3X6j-0vpSzS3w</recordid><startdate>20230101</startdate><enddate>20230101</enddate><creator>Eichfelder, Lea</creator><creator>Franz, Volker H.</creator><creator>Janczyk, Markus</creator><general>Springer Berlin Heidelberg</general><general>Springer</general><general>Springer Nature B.V</general><scope>C6C</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>ISR</scope><scope>0-V</scope><scope>3V.</scope><scope>7QP</scope><scope>7QR</scope><scope>7RV</scope><scope>7TK</scope><scope>7TM</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88G</scope><scope>88J</scope><scope>8AO</scope><scope>8FD</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ALSLI</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>K9.</scope><scope>KB0</scope><scope>M0S</scope><scope>M1P</scope><scope>M2M</scope><scope>M2R</scope><scope>NAPCQ</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PSYQQ</scope><scope>Q9U</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-1631-5037</orcidid><orcidid>https://orcid.org/0000-0002-9958-3220</orcidid><orcidid>https://orcid.org/0000-0002-8457-0611</orcidid></search><sort><creationdate>20230101</creationdate><title>Is there hierarchical generalization in response-effect learning?</title><author>Eichfelder, Lea ; 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In this framework, response-effect (R-E) learning is assumed as a prerequisite for voluntary action: Once associations between motor actions and their effects in the environment have been formed, the anticipation of these effects will automatically activate the associated motor pattern. R-E learning is typically investigated with (induction) experiments that comprise an acquisition phase, where R-E associations are presumably learned, and a subsequent test phase, where the previous effects serve as stimuli for a response. While most studies used stimuli in the test phase that were identical to the effects in the acquisition phase, one study reported generalization from exemplars to their superordinate category (Hommel et al., Vis Cogn 10:965–986, 2003, Exp. 1). However, studies on so-called R-E compatibility did not report such generalization. We aimed to conceptually replicate Experiment 1 of Hommel et al. (Vis Cogn 10:965–986, 2003) with a free-choice test phase. While we did observe effects consistent with R-E learning when the effects in the acquisition phase were identical to the stimuli in the test phase, we did not observe evidence for generalization. We discuss this with regard to recent studies suggesting that individual response biases might rather reflect rapidly inferred propositional knowledge instead of learned R-E associations.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>36394593</pmid><doi>10.1007/s00221-022-06473-w</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0002-1631-5037</orcidid><orcidid>https://orcid.org/0000-0002-9958-3220</orcidid><orcidid>https://orcid.org/0000-0002-8457-0611</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Analysis Bias Biomedical and Life Sciences Biomedicine Brain research Cognition Experiments Generalization, Psychological Human influences Humans Learning - physiology Learning strategies Motor skill learning Neurology Neurosciences Research Article Response bias |
title | Is there hierarchical generalization in response-effect learning? |
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