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Two-process recognition memory: Evidence from ROC curves

Two-process recognition memory: Evidence from ROC curves
两进程识别记忆:来自 ROC 曲线的证据
批准号:
7817068
负责人:
Caren M. Rotello
金额:
$22.98万
依托单位国家:
美国
项目类别:
财政年份:
2001
资助国家:
美国
项目状态:
已结题
起止时间:
2001-06-01 至 2012-03-31

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中文摘要
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英文摘要
DESCRIPTION (provided by applicant): One-process models of recognition memory assume that judgments are based on the familiarity of the test probe. Two-process models assume that the familiarity-based process may be supplemented by the output of a recollective process. One type of evidence for two-process models has come from subjective reports of whether a particular test item is recognized on the basis of recollection or familiarity, using a remember-know (R-K) procedure (Tulving, 1985). Quantitative modeling has been applied to R-K judgments only recently, and a number of candidate models have emerged. Like models of recognition, models of R-K come in one- and two-process forms. The one-dimensional signal detection (SDT) explanation of R-K judgments was first proposed by Donaldson (1996) but has been extended by Wixted and Stretch (2004). We proposed a two-dimensional SDT model known as STREAK (Rotello, Macmillan, & Reeder, 2004). Other two-process models have been suggested by Reder et al. (2000), Yonelinas (2002), and Murdock (in press). We focus on distinguishing these alternative models, using ROC curves and analysis of RT distributions as the primary methodological tools. Aims 1 and 3 evaluate the source of the variability assumed in SDT models. In recognition tasks, variability arises from differences among the stimuli, and models typically treat all kinds of variability alike. That this is an obvious oversimplification in the R-K paradigm: surely some items are more likely to lead to R responses than others. We address this issue by varying stimulus characteristics in our typical word-recognition experiments (Aim 1), and by studying memory for faces (Aim 3). Aim 2 takes a different approach to model evaluation, focusing on the RT distributions for "old" responses that are followed by R or K judgments. The statistics of these distributions are informative about whether the same process(es) underlie the judgments. We take advantage of this fact to test models of R-K decisions. This is clearly a basic research program. However, understanding the mechanisms by which recognition judgments are made in healthy adults is critical to understanding the problems that can develop after brain injury or in later life. This research will have implications for amnesia, aging effects such as cognitive slowing, and prosopagnosia (the inability to recognize faces); it is also relevant for eyewitness memory.
期刊论文(19)
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会议论文
Deciding about decision models of remember and know judgments: a reply to Murdock (2006).
决定记住和知道判断的决策模型:对 Murdock (2006) 的答复。
DOI: 10.1037/0033-295x.113.3.657
发表时间: 2006
期刊: Psychological review.
影响因子: --
作者: [Macmillan,NeilA, Rotello,CarenM]
通讯作者: Rotello,CarenM
On the importance of models in interpreting remember-know experiments: comments on Gardiner et al.'s (2002) meta-analysis.
关于模型在解释记住-知道实验中的重要性:对 Gardiner 等人 (2002) 荟萃分析的评论。
DOI: 10.1080/09658210444000269
发表时间: 2005
期刊: Memory (Hove, England)
影响因子: --
作者: [Macmillan,NeilA, Rotello,CarenM, Verde,MichaelF]
通讯作者: Verde,MichaelF
Conjunction errors and semantic transparency.
连接错误和语义透明度。
DOI: 10.3758/mc.38.1.47
发表时间: 2010
期刊: Memory & cognition
影响因子: 2.4
作者: [Wong,Mungchen, Rotello,CarenM]
通讯作者: Rotello,CarenM
DOI: 10.3758/mc.38.5.541
发表时间: 2010-07
期刊: Memory & cognition
影响因子: 2.4
作者: [Kapucu A, Macmillan NA, Rotello CM]
通讯作者: Rotello CM
Two-process recognition memory: Evidence from ROC curve
Two-process recognition memory: Evidence from ROC curve
Two-process recognition memory: Evidence from ROC curve
Two-process recognition memory: Evidence from ROC curve
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