Göthe Katrin, Oberauer Klaus
Department of Psychology, University of Potsdam, Potsdam, Germany.
Psychol Res. 2008 May;72(3):289-303. doi: 10.1007/s00426-007-0111-9. Epub 2007 Mar 15.
Dual process models postulate familiarity and recollection as the basis of the recognition process. We investigated the time-course of integration of the two information sources to one recognition judgment in a working memory task. We tested 24 subjects with a response signal variant of the modified Sternberg recognition task (Oberauer, 2001) to isolate the time course of three different probe types indicating different combinations of familiarity and source information. We compared two mathematical models implementing different ways of integrating familiarity and recollection. Within each model, we tested three assumptions about the nature of the familiarity signal, with familiarity having (a) only positive values, indicating similarity of the probe with the memory list, (b) only negative values, indicating novelty, or (c) both positive and negative values. Both models provided good fits to the data. A model combining the outputs of both processes additively (Integration Model) gave an overall better fit to the data than a model based on a continuous familiarity signal and a probabilistic all-or-none recollection process (Dominance Model).
双加工模型假定熟悉性和回忆是识别过程的基础。我们在一项工作记忆任务中研究了将这两种信息源整合为一个识别判断的时间进程。我们使用改良的斯特恩伯格识别任务的反应信号变体（奥伯奥尔，2001）对24名受试者进行了测试，以分离出三种不同探测类型的时间进程，这些探测类型表明了熟悉性和源信息的不同组合。我们比较了两种实施不同熟悉性和回忆整合方式的数学模型。在每个模型中，我们测试了关于熟悉性信号性质的三个假设，即熟悉性具有（a）仅为正值，表明探测与记忆列表的相似性，（b）仅为负值，表明新颖性，或（c）既有正值又有负值。两种模型都对数据拟合良好。一个将两个过程的输出进行相加组合的模型（整合模型）比一个基于连续熟悉性信号和概率性全或无回忆过程的模型（优势模型）对数据的整体拟合更好。
