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Error adaptation in mental arithmetic

机译:心态算法的错误适应

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摘要

Until now, error and conflict adaptation have been studied extensively using simple laboratory tasks. A common finding is that responses slow down after errors. According to the conflict monitoring theory, performance should also improve after an error. However, this is usually not observed. In this study, we investigated whether the characteristics of the experimental paradigms normally used could explain this absence. More precisely, these paradigms have in common that behavioural adaptation has little room to be expressed. We therefore studied error and conflict adaptation effects in a task that encounters the richness of everyday life's behavioural adaptation-namely, mental arithmetic, where multiple solution strategies are available. In accordance with our hypothesis, we observed that posterror accuracy increases after errors in mental arithmetic. No support for conflict adaptation in mental arithmetic was found. Implications for current theories of conflict and error monitoring are discussed.
机译:到目前为止,使用简单的实验室任务广泛研究了错误和冲突适应。常见的发现是响应错误后慢下来。根据冲突监测理论,误差也应该改善性能。但是,通常未观察到这一点。在这项研究中,我们研究了通常使用的实验范式的特征是否可以解释这种缺席。更确切地说,这些范例有共同于行为适应具有很小的待表达的空间。因此,我们在遇到日常生活的丰富性的任务中研究了错误和冲突适应效果 - 即精神算法,其中多种解决方案策略。根据我们的假设,我们观察到,在精神算术中的错误后,后后部的精度会增加。没有发现没有对心理算术中冲突适应的支持。讨论了对当前冲突和错误监测理论的影响。

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