Adaptive Spontaneous Transitions between Two Mechanisms of Numerical Averaging.

Adaptive Spontaneous Transitions between Two Mechanisms of Numerical Averaging.
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DOI:
10.1038/srep10415
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发表时间:
2015-06-04
期刊:
影响因子:
4.6
通讯作者:
Usher M
Usher M
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Brezis N;Bronfman ZZ;Usher M

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我们研究了人类估计数字平均值的机制。参与者被连续快速地(2个数字/秒)呈现4、8或16(两位数)数字,并被指示传达序列平均值。正如预测的双,但不是一个单一的组件帐户,我们发现一个非单调的影响集大小的准确性。此外,我们观察到一个显着的减少RT的集合大小的增加和RT的准确性权衡在4-,但不是在16-号码的条件。这些结果表明,按照规范的指示,参与者自发地采用分析/顺序思维的4-数条件和直觉/整体思维的16-数条件。当呈现速率达到极限(10个项目/秒)时,我们发现,虽然性能仍然很高,但现在的估计是基于直观的处理。计算模型假设的人口编码的直观平均和工作记忆介导的符号程序的基础上分析平均,两者之间的灵活分配的结果占。
We investigated the mechanism with which humans estimate numerical averages. Participants were presented with 4, 8 or 16 (two-digit) numbers, serially and rapidly (2 numerals/second) and were instructed to convey the sequence average. As predicted by a dual, but not a single-component account, we found a non-monotonic influence of set-size on accuracy. Moreover, we observed a marked decrease in RT as set-size increases and RT-accuracy tradeoff in the 4-, but not in the 16-number condition. These results indicate that in accordance with the normative directive, participants spontaneously employ analytic/sequential thinking in the 4-number condition and intuitive/holistic thinking in the 16-number condition. When the presentation rate is extreme (10 items/sec) we find that, while performance still remains high, the estimations are now based on intuitive processing. The results are accounted for by a computational model postulating population-coding underlying intuitive-averaging and working-memory-mediated symbolic procedures underlying analytical-averaging, with flexible allocation between the two.
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