Department of Psychology, Washington University in St. Louis.
J Exp Psychol Learn Mem Cogn. 2014 Jan;40(1):66-85. doi: 10.1037/a0034059. Epub 2013 Aug 19.
The Remember/Know procedure, developed by Tulving (1985) to capture the distinction between the conscious correlates of episodic and semantic retrieval, has spawned considerable research and debate. However, only a handful of reports have examined the recognition content beyond this dichotomous simplification. To address this, we collected participants' written justifications in support of ordinary old/new recognition decisions accompanied by confidence ratings using a 3-point scale (high/medium/low). Unlike prior research, we did not provide the participants with any descriptions of Remembering or Knowing and thus, if the justifications mapped well onto theory, they would do so spontaneously. Word frequency analysis (unigrams, bigrams, and trigrams), independent ratings, and machine learning techniques (Support Vector Machine [SVM]) converged in demonstrating that the linguistic content of high and medium confidence recognition differs in a manner consistent with dual process theories of recognition. For example, the use of "I remember," particularly when combined with temporal or perceptual information (e.g., "when," "saw," "distinctly"), was heavily associated with high confidence recognition. Conversely, participants also used the absence of remembering for personally distinctive materials as support for high confidence new reports ("would have remembered"). Thus, participants afford a special status to the presence or absence of remembering and use this actively as a basis for high confidence during recognition judgments. Additionally, the pattern of classification successes and failures of a SVM was well anticipated by the dual process signal detection model of recognition and inconsistent with a single process, strictly unidimensional approach.
记得/知道程序是由图尔文(1985 年)开发的,用于捕捉情节和语义检索的有意识相关物之间的区别,已经产生了相当多的研究和争论。然而,只有少数报告检查了这种二分简化之外的识别内容。为了解决这个问题,我们收集了参与者的书面理由,以支持普通的旧/新识别决策,并附有信心评分,使用 3 点量表(高/中/低)。与之前的研究不同,我们没有向参与者提供任何关于记得或知道的描述,因此,如果理由很好地映射到理论上,它们就会自发地这样做。词汇频率分析(单字、双字和三字)、独立评分和机器学习技术(支持向量机 [SVM])一致表明,高置信度识别和中置信度识别的语言内容以与识别的双过程理论一致的方式有所不同。例如,使用“我记得”,特别是当与时间或感知信息(如“何时”、“看到”、“明显”)结合使用时,与高置信度识别高度相关。相反,参与者也使用没有记住个人独特的材料来支持高置信度的新报告(“本来会记住的”)。因此,参与者赋予了记住或忘记的存在或缺失以特殊地位,并积极将其用作识别判断中高置信度的基础。此外,SVM 的分类成功和失败模式很好地预测了识别的双过程信号检测模型,与单一过程、严格单维方法不一致。