Optimizing motor decision-making through competition with opponents
Abstract Although optimal decision-making is essential for sports performance and fine motor control, it has been repeatedly confirmed that humans show a strong risk-seeking bias, selecting a risky strategy over an optimal solution. Despite such evidence, the ideal method to promote optimal decision...
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Nature Portfolio
2020
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oai:doaj.org-article:ea2297e8504d4c35a8ada18f4ac31d4f2021-12-02T15:23:40ZOptimizing motor decision-making through competition with opponents10.1038/s41598-019-56659-62045-2322https://doaj.org/article/ea2297e8504d4c35a8ada18f4ac31d4f2020-01-01T00:00:00Zhttps://doi.org/10.1038/s41598-019-56659-6https://doaj.org/toc/2045-2322Abstract Although optimal decision-making is essential for sports performance and fine motor control, it has been repeatedly confirmed that humans show a strong risk-seeking bias, selecting a risky strategy over an optimal solution. Despite such evidence, the ideal method to promote optimal decision-making remains unclear. Here, we propose that interactions with other people can influence motor decision-making and improve risk-seeking bias. We developed a competitive reaching game (a variant of the “chicken game”) in which aiming for greater rewards increased the risk of no reward and subjects competed for the total reward with their opponent. The game resembles situations in sports, such as a penalty kick in soccer, service in tennis, the strike zone in baseball, or take-off in ski jumping. In five different experiments, we demonstrated that, at the beginning of the competitive game, the subjects robustly switched their risk-seeking strategy to a risk-averse strategy. Following the reversal of the strategy, the subjects achieved optimal decision-making when competing with risk-averse opponents. This optimality was achieved by a non-linear influence of an opponent’s decisions on a subject’s decisions. These results suggest that interactions with others can alter human motor decision strategies and that competition with a risk-averse opponent is key for optimizing motor decision-making.Keiji OtaMamoru TanaeKotaro IshiiKen TakiyamaNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 10, Iss 1, Pp 1-14 (2020) |
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Medicine R Science Q Keiji Ota Mamoru Tanae Kotaro Ishii Ken Takiyama Optimizing motor decision-making through competition with opponents |
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Abstract Although optimal decision-making is essential for sports performance and fine motor control, it has been repeatedly confirmed that humans show a strong risk-seeking bias, selecting a risky strategy over an optimal solution. Despite such evidence, the ideal method to promote optimal decision-making remains unclear. Here, we propose that interactions with other people can influence motor decision-making and improve risk-seeking bias. We developed a competitive reaching game (a variant of the “chicken game”) in which aiming for greater rewards increased the risk of no reward and subjects competed for the total reward with their opponent. The game resembles situations in sports, such as a penalty kick in soccer, service in tennis, the strike zone in baseball, or take-off in ski jumping. In five different experiments, we demonstrated that, at the beginning of the competitive game, the subjects robustly switched their risk-seeking strategy to a risk-averse strategy. Following the reversal of the strategy, the subjects achieved optimal decision-making when competing with risk-averse opponents. This optimality was achieved by a non-linear influence of an opponent’s decisions on a subject’s decisions. These results suggest that interactions with others can alter human motor decision strategies and that competition with a risk-averse opponent is key for optimizing motor decision-making. |
format |
article |
author |
Keiji Ota Mamoru Tanae Kotaro Ishii Ken Takiyama |
author_facet |
Keiji Ota Mamoru Tanae Kotaro Ishii Ken Takiyama |
author_sort |
Keiji Ota |
title |
Optimizing motor decision-making through competition with opponents |
title_short |
Optimizing motor decision-making through competition with opponents |
title_full |
Optimizing motor decision-making through competition with opponents |
title_fullStr |
Optimizing motor decision-making through competition with opponents |
title_full_unstemmed |
Optimizing motor decision-making through competition with opponents |
title_sort |
optimizing motor decision-making through competition with opponents |
publisher |
Nature Portfolio |
publishDate |
2020 |
url |
https://doaj.org/article/ea2297e8504d4c35a8ada18f4ac31d4f |
work_keys_str_mv |
AT keijiota optimizingmotordecisionmakingthroughcompetitionwithopponents AT mamorutanae optimizingmotordecisionmakingthroughcompetitionwithopponents AT kotaroishii optimizingmotordecisionmakingthroughcompetitionwithopponents AT kentakiyama optimizingmotordecisionmakingthroughcompetitionwithopponents |
_version_ |
1718387300040179712 |