Moors Agnes, De Houwer Jan
Department of Psychology, Ghent University, Ghent, Belgium.
Psychol Bull. 2006 Mar;132(2):297-326. doi: 10.1037/0033-2909.132.2.297.
Several theoretical views of automaticity are discussed. Most of these suggest that automaticity should be diagnosed by looking at the presence of features such as unintentional, uncontrolled/uncontrollable, goal independent, autonomous, purely stimulus driven, unconscious, efficient, and fast. Contemporary views further suggest that these features should be investigated separately. The authors examine whether features of automaticity can be disentangled on a conceptual level, because only then is the separate investigation of them worth the effort. They conclude that the conceptual analysis of features is to a large extent feasible. Not all researchers agree with this position, however. The authors show that assumptions of overlap among features are determined by the other researchers' views of automaticity and by the models they endorse for information processing in general.
本文讨论了几种关于自动化的理论观点。其中大多数观点认为，应通过观察诸如无意的、不受控制/无法控制的、目标独立的、自主的、纯粹由刺激驱动的、无意识的、高效的和快速的等特征的存在来诊断自动化。当代观点进一步表明，这些特征应分别进行研究。作者们探讨了自动化的特征在概念层面上是否可以区分，因为只有到那时，对它们进行单独研究才是值得的。他们得出结论，特征的概念分析在很大程度上是可行的。然而，并非所有研究人员都同意这一观点。作者们表明，特征之间重叠的假设是由其他研究人员对自动化的看法以及他们普遍认可的信息处理模型所决定的。
