Size and Emotion Averaging: Costs of Dividing Attention After All
Size and Emotion Averaging: Costs of Dividing Attention After All
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DOI：
10.1037/a0026950
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发表时间：
2012-03-01
影响因子：
1.3
通讯作者：
Tottenham, Laurie Sykes
中科院分区：
文献类型：
--
作者：
Brand, John;Oriet, Chris;Tottenham, Laurie Sykes
感知平均是一个过程，通过该过程，相似项目的集合由汇总统计数据表示，例如它们的平均大小，亮度或方向。研究人员认为，这个过程是自动的，能够在不受并发处理干扰的情况下进行。在这里，我们挑战这一结论，并证明了一个可靠的成本计算的平均大小区分颜色的圆圈（实验1和2）和平均情绪的脸区分性别（实验3）。我们还测试了两种策略的可行性，这两种策略可以让观察者猜测正确的反应，而无需同时计算两组的平均大小或情绪。我们的结论是，虽然两个手段可以同时计算，这样做会产生成本的分散注意力。
Perceptual averaging is a process by which sets of similar items are represented by summary statistics such as their average size, luminance, or orientation. Researchers have argued that this process is automatic, able to be carried out without interference from concurrent processing. Here, we challenge this conclusion and demonstrate a reliable cost of computing the mean size of circles distinguished by colour (Experiments 1 and 2) and the mean emotionality of faces distinguished by sex (Experiment 3). We also test the viability of two strategies that could have allowed observers to guess the correct response without computing the average size or emotionality of both sets concurrently. We conclude that although two means can be computed concurrently, doing so incurs a cost of dividing attention.