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首页> 外文期刊>Frontiers in Psychology >Does attentional selectivity in global/local processing improve discretely or gradually?
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Does attentional selectivity in global/local processing improve discretely or gradually?

机译:全局/局部处理中的注意选择性是离散地还是逐渐地提高?

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Some results suggest that attentional selection in global/local processing occurs at two stages: an early stage, where global and local information of a hierarchical stimulus is filtered or weighted according to the current goal, and a late stage, where the contents of the stimulus are bound to their respective level. Because it is assumed that binding improves attentional selectivity, accuracy should increase with response time. To see whether this prediction holds, a global/local experiment was conducted with hierarchical letters as stimuli, and where selection difficulty was varied by blocking vs. randomizing the target levels. The results show that accuracy indeed increased with response time, although to a lesser extent under randomized levels. Because an increasing accuracy is also compatible with a gradually improving selectivity, corresponding sequential sampling models were fit to the distributional data. The results show that a discretely improving attentional selectivity accounts better for the data. Moreover, the parameters of the corresponding model indicate that randomizing the target level impaired the efficiency of early selection as well as that of content-to-level binding.
机译:一些结果表明,全局/局部处理中的注意选择发生在两个阶段:早期阶段,根据当前目标过滤或加权分层刺激的全局和局部信息;后期阶段,刺激的内容绑定到各自的级别。因为假定绑定可以提高注意力选择性,所以准确性应随响应时间而增加。为了了解这种预测是否成立,进行了以分层字母作为刺激的全局/局部实验,并通过阻断与随机化目标水平来改变选择难度。结果表明,准确度确实随响应时间而增加,尽管在随机水平下影响较小。由于提高的准确性也与逐渐提高的选择性兼容,因此将相应的顺序采样模型拟合到分布数据。结果表明,离散提高的注意力选择性更好地说明了数据。此外,相应模型的参数表明,将目标级别随机化会损害早期选择的效率以及内容到级别绑定的效率。

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