Interactive effects of incentive value and valence on the performance of discrete action sequences

Abstract Incentives can be used to increase motivation, leading to better learning and performance on skilled motor tasks. Prior work has shown that monetary punishments enhance on-line performance while equivalent monetary rewards enhance off-line skill retention. However, a large body of literatur...

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Autores principales: Tyler J. Adkins, Bradley S. Gary, Taraz G. Lee
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/98e3c08dae9b437eac14a3c3a7f2c5c9
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spelling oai:doaj.org-article:98e3c08dae9b437eac14a3c3a7f2c5c92021-12-02T17:14:58ZInteractive effects of incentive value and valence on the performance of discrete action sequences10.1038/s41598-021-88286-52045-2322https://doaj.org/article/98e3c08dae9b437eac14a3c3a7f2c5c92021-04-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-88286-5https://doaj.org/toc/2045-2322Abstract Incentives can be used to increase motivation, leading to better learning and performance on skilled motor tasks. Prior work has shown that monetary punishments enhance on-line performance while equivalent monetary rewards enhance off-line skill retention. However, a large body of literature on loss aversion has shown that losses are treated as larger than equivalent gains. The divergence between the effects of punishments and reward on motor learning could be due to perceived differences in incentive value rather than valence per se. We test this hypothesis by manipulating incentive value and valence while participants trained to perform motor sequences. Consistent with our hypothesis, we found that large reward enhanced on-line performance but impaired the ability to retain the level of performance achieved during training. However, we also found that on-line performance was better with reward than punishment and that the effect of increasing incentive value was more linear with reward (small, medium, large) while the effect of value was more binary with punishment (large vs not large). These results suggest that there are differential effects of punishment and reward on motor learning and that these effects of valence are unlikely to be driven by differences in the subjective magnitude of gains and losses.Tyler J. AdkinsBradley S. GaryTaraz G. LeeNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Tyler J. Adkins
Bradley S. Gary
Taraz G. Lee
Interactive effects of incentive value and valence on the performance of discrete action sequences
description Abstract Incentives can be used to increase motivation, leading to better learning and performance on skilled motor tasks. Prior work has shown that monetary punishments enhance on-line performance while equivalent monetary rewards enhance off-line skill retention. However, a large body of literature on loss aversion has shown that losses are treated as larger than equivalent gains. The divergence between the effects of punishments and reward on motor learning could be due to perceived differences in incentive value rather than valence per se. We test this hypothesis by manipulating incentive value and valence while participants trained to perform motor sequences. Consistent with our hypothesis, we found that large reward enhanced on-line performance but impaired the ability to retain the level of performance achieved during training. However, we also found that on-line performance was better with reward than punishment and that the effect of increasing incentive value was more linear with reward (small, medium, large) while the effect of value was more binary with punishment (large vs not large). These results suggest that there are differential effects of punishment and reward on motor learning and that these effects of valence are unlikely to be driven by differences in the subjective magnitude of gains and losses.
format article
author Tyler J. Adkins
Bradley S. Gary
Taraz G. Lee
author_facet Tyler J. Adkins
Bradley S. Gary
Taraz G. Lee
author_sort Tyler J. Adkins
title Interactive effects of incentive value and valence on the performance of discrete action sequences
title_short Interactive effects of incentive value and valence on the performance of discrete action sequences
title_full Interactive effects of incentive value and valence on the performance of discrete action sequences
title_fullStr Interactive effects of incentive value and valence on the performance of discrete action sequences
title_full_unstemmed Interactive effects of incentive value and valence on the performance of discrete action sequences
title_sort interactive effects of incentive value and valence on the performance of discrete action sequences
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/98e3c08dae9b437eac14a3c3a7f2c5c9
work_keys_str_mv AT tylerjadkins interactiveeffectsofincentivevalueandvalenceontheperformanceofdiscreteactionsequences
AT bradleysgary interactiveeffectsofincentivevalueandvalenceontheperformanceofdiscreteactionsequences
AT tarazglee interactiveeffectsofincentivevalueandvalenceontheperformanceofdiscreteactionsequences
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