注意力网络
心理学
蚂蚁
认知
认知心理学
分类学(生物学)
认知科学
航程(航空)
数据科学
人工智能
计算机科学
神经科学
生态学
生物
工程类
航空航天工程
计算机网络
作者
Rafael de Souza Almeida,Aydamari Faria-Jr,Raymond M. Klein
标识
DOI:10.1016/j.neubiorev.2021.02.028
摘要
Attention is a pivotal cognitive function and efforts to understand its properties and operations are fundamental. Building upon the best known taxonomy of attention put forward by Posner and colleagues, the Attention Network Test (ANT) was designed to efficiently provide scores that reflect the efficacy of alerting, orienting and executive control. The ANT has not only been very widely adopted by scholars around the world, it has inspired a wide range of variants, the ANTs, - each with its own purpose. This review will describe the origin of the ANT in the taxonomic contributions of Posner and the evolution of the ANTs with some discussion of the nature and rationale for each major variant described here. We briefly allude to minor modifications of the ANT and present some suggestions related to data reporting and data analysis. We end with some projections about the future use of the original ANT and its notable variants.
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