A note on the identification of change detection task models to measure storage capacity and attention in visual working memory
A note on the identification of change detection task models to measure storage capacity and attention in visual working memory
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DOI：
10.3758/s13428-018-1082-z
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发表时间：
2019-06-01
影响因子：
5.4
通讯作者：
Waller, Niels G.
中科院分区：
文献类型：
--
作者：
Feuerstahler, Leah M.;Luck, Steven J.;Waller, Niels G.
变化检测任务是评估工作记忆存储容量的一种常见方法，但这项任务对记忆容量的估计可能会因注意力疏忽而被扭曲。当结合适当的数学模型时，变化检测任务的某些版本可以分别估计工作记忆和注意力疏忽的概率。原则上，这些模型应该允许研究人员分离出实验操作、群体差异和个体差异对工作记忆容量和注意力错失率的影响。然而，本研究发现，一个被广泛接受的变化检测任务模型的两个变体并没有在数学上被识别出来。
The change detection task is a common method for assessing the storage capacity of working memory, but estimates of memory capacity from this task can be distorted by lapses of attention. When combined with appropriate mathematical models, some versions of the change detection task make it possible to separately estimate working memory and the probability of attentional lapses. In principle, these models should allow researchers to isolate the effects of experimental manipulations, group differences, and individual differences on working memory capacity and on the rate of attentional lapses. However, the present research found that two variants of a widely accepted model of the change detection task are not mathematically identified.