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Learning different task spaces: how explored density aligns the Quiet Eye

In the current study, predictions of a theoretical account to the explanation of the Quiet Eye (QE) were investigated. To this end, by manipulating the learning environment, participants (n = 52) learned an underhand throwing task which required to explore task-solution spaces of low vs. high densit...

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Detalles Bibliográficos
Autores principales: Klostermann, André, Reinbold, Florian, Kredel, Ralf
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9296436/
https://www.ncbi.nlm.nih.gov/pubmed/35532847
http://dx.doi.org/10.1007/s10339-022-01090-5
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author Klostermann, André
Reinbold, Florian
Kredel, Ralf
author_facet Klostermann, André
Reinbold, Florian
Kredel, Ralf
author_sort Klostermann, André
collection PubMed
description In the current study, predictions of a theoretical account to the explanation of the Quiet Eye (QE) were investigated. To this end, by manipulating the learning environment, participants (n = 52) learned an underhand throwing task which required to explore task-solution spaces of low vs. high density over a 4-week training phase (640 training trials). Although throwing performance was improved, surprisingly, in posttest and retention test shorter QE durations were found. It is speculated that on a short-time learning scale this effect might be explained by more efficient information processing. Moreover, a trend was observed which suggests that—in line with the inhibition hypothesis—when exploring high-density task-solution spaces longer QE durations are required. However, the rather small effect sizes necessitate further research, which will allow to manipulate the response–effect mappings more directly as, for example, in virtual environments.
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spelling pubmed-92964362022-07-21 Learning different task spaces: how explored density aligns the Quiet Eye Klostermann, André Reinbold, Florian Kredel, Ralf Cogn Process Research Article In the current study, predictions of a theoretical account to the explanation of the Quiet Eye (QE) were investigated. To this end, by manipulating the learning environment, participants (n = 52) learned an underhand throwing task which required to explore task-solution spaces of low vs. high density over a 4-week training phase (640 training trials). Although throwing performance was improved, surprisingly, in posttest and retention test shorter QE durations were found. It is speculated that on a short-time learning scale this effect might be explained by more efficient information processing. Moreover, a trend was observed which suggests that—in line with the inhibition hypothesis—when exploring high-density task-solution spaces longer QE durations are required. However, the rather small effect sizes necessitate further research, which will allow to manipulate the response–effect mappings more directly as, for example, in virtual environments. Springer Berlin Heidelberg 2022-05-09 2022 /pmc/articles/PMC9296436/ /pubmed/35532847 http://dx.doi.org/10.1007/s10339-022-01090-5 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Research Article
Klostermann, André
Reinbold, Florian
Kredel, Ralf
Learning different task spaces: how explored density aligns the Quiet Eye
title Learning different task spaces: how explored density aligns the Quiet Eye
title_full Learning different task spaces: how explored density aligns the Quiet Eye
title_fullStr Learning different task spaces: how explored density aligns the Quiet Eye
title_full_unstemmed Learning different task spaces: how explored density aligns the Quiet Eye
title_short Learning different task spaces: how explored density aligns the Quiet Eye
title_sort learning different task spaces: how explored density aligns the quiet eye
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9296436/
https://www.ncbi.nlm.nih.gov/pubmed/35532847
http://dx.doi.org/10.1007/s10339-022-01090-5
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