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Multiple species of distinctiveness in memory? Comparing encoding versus statistical distinctiveness on recognition

机译:内存中多种独特性?比较编码与统计独特性的识别

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The distinctiveness effect refers to the memorial benefit of processing unique or item-specific features of a memory set relative to a non-distinctive control. Traditional distinctiveness effects are accounted for based on qualitative differences in how distinctive items are encoded and subsequently retrieved. This study evaluates whether a separate species of distinctiveness - statistical distinctiveness - may provide an additional benefit to memory beyond traditional task-based processes. Statistical distinctiveness refers to the relative frequency with which a specific memory item or set is processed. The current study examined the presence of statistical distinctiveness through a series of levels-of-processing mixed groups in which related lists were studied using two of the following three tasks to promote either shallow ("E" identification), neutral (reading silently), or deep/distinctive (pleasantness ratings) processing followed by a recognition test. Participants studied lists in which these tasks were used frequently (80% of lists), equally (50% of lists), or infrequently (20% of lists). No recognition advantage was found when tasks were completed infrequently versus frequently. Instead, recognition was greatest for the deeper/more distinctive task - a pattern consistent with an encoding but not a statistical distinctiveness account.
机译:独特性效应是指处理相对于非独特控制的唯一或项目特定特征的追悼效益。基于在编码和随后检索的独特项目的定性差异,将传统的独特性效应占了定性差异。本研究评估了单独的独立性统计独特性 - 统计独特性 - 可能对超越传统的基于任务的流程来提供额外的益处。统计独特性是指处理特定存储器项或集合的相对频率。目前的研究通过一系列加工水平的混合组检查了统计独特性的存在,其中使用以下三个任务中的两个进行了相关列表来促进浅(“E”识别),中性(静静地读取),或深/独特(愉快评级)处理,然后进行识别测试。参与者研究了这些任务的清单,其中频繁使用(列表的80%),同样(列表中的50%),或不经常(占列表的20%)。当任务不经常与经常完成任务时,没有发现识别优势。相反,对于更深入/更独特的任务来说,识别最大 - 与编码但不是统计独特性账户一致的模式。

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