Toward a Model Framework of Generalized Parallel Componential Processing of Multi-Symbol Numbers
Toward a Model Framework of Generalized Parallel Componential Processing of Multi-Symbol Numbers
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DOI：
10.1037/xlm0000043
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发表时间：
2015-05-01
影响因子：
2.6
通讯作者：
Nuerk, Hans-Christoph
中科院分区：
文献类型：
--
作者：
Huber, Stefan;Cornelsen, Sonja;Nuerk, Hans-Christoph
在本文中，我们提出并评估了一种新的并行分量多符号数字处理模型框架，通过考虑类似于个位数的极性符号，将多位数并行分量处理的思想推广到负数的情况。第一步，我们通过定义和研究正数和负数比较的符号十进制兼容性效应来评估该帐户，这扩展了两位数处理中的单位十进制兼容性效应。然后，我们评估该模型是否能够解释之前在负数处理中的发现。在一项幅度比较任务中，参与者必须选出 2 个整数中较大的一个，我们观察到与符号十进制兼容的数字对（例如，-53 与 +97）相比，可靠的符号十进制兼容性效应，以及对不兼容的反应时间延长（例如，-97 与 +53；其中十进制数字较大的数字具有较小的符号，即负极性符号）。此外，对参与者眼睛注视行为的分析证实了我们的多符号数字并行分量处理模型。这些结果是根据有关负数处理的并发理论概念进行讨论的。在目前结果的基础上，我们提出了并行组件多符号处理的广义集成模型框架。
In this article, we propose and evaluate a new model framework of parallel componential multi-symbol number processing, generalizing the idea of parallel componential processing of multi-digit numbers to the case of negative numbers by considering the polarity signs similar to single digits. In a first step, we evaluated this account by defining and investigating a sign-decade compatibility effect for the comparison of positive and negative numbers, which extends the unit-decade compatibility effect in 2-digit number processing. Then, we evaluated whether the model is capable of accounting for previous findings in negative number processing. In a magnitude comparison task, in which participants had to single out the larger of 2 integers, we observed a reliable sign-decade compatibility effect with prolonged reaction times for incompatible (e.g., -97 vs. +53; in which the number with the larger decade digit has the smaller, i.e., negative polarity sign) as compared with sign-decade compatible number pairs (e.g., -53 vs. +97). Moreover, an analysis of participants' eye fixation behavior corroborated our model of parallel componential processing of multi-symbol numbers. These results are discussed in light of concurrent theoretical notions about negative number processing. On the basis of the present results, we propose a generalized integrated model framework of parallel componential multi-symbol processing.