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Strategy Changes After Errors Improve Performance

机译:错误后的策略更改可提高性能

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The observation that performance does not improve following errors contradicts the traditional view on error monitoring (Fiehler et al., 2005; Núñez Castellar et al., 2010; Notebaert and Verguts, 2011). However, recent findings suggest that typical laboratory tasks provided us with a narrow window on error monitoring (Jentzsch and Dudschig, 2009; Desmet et al., 2012). In this study we investigated strategy-use after errors in a mental arithmetic task. In line with our hypothesis, this more complex task did show increased performance after errors. More specifically, switching to a different strategy after an error resulted in improved performance, while repeating the same strategy resulted in worse performance. These results show that in more ecological valid tasks, post-error behavioral improvement can be observed.
机译:关于性能并不能改善跟随错误的观察结果与传统的错误监视观点相矛盾(Fiehler等,2005;NúñezCastellar等,2010; Notebaert和Verguts,2011)。但是,最近的发现表明,典型的实验室任务为我们提供了一个狭窄的错误监控窗口(Jentzsch和Dudschig,2009; Desmet等,2012)。在这项研究中,我们调查了心理算术任务中错误后的策略使用。符合我们的假设,此更复杂的任务确实显示出出错后性能提高。更具体地说,在发生错误后切换到其他策略会提高性能,而重复执行同一策略则会导致性能下降。这些结果表明,在更生态有效的任务中,可以观察到错误后行为的改善。

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