Mewhort D J, Johns E E
Department of Psychology, Queen's University, Kingston, Ontario, Canada.
J Exp Psychol Gen. 2000 Jun;129(2):262-84. doi: 10.1037//0096-3445.129.2.262.
The authors varied the similarity between negative probes and study items in a short-term item-recognition task. Current models treat similarity as a function of the number of occurrences of the probe's features in the study set, a factor that is often confounded with the number of the probe's features occurring in the study set. Unconfounded comparisons showed that performance reflected only the latter factor, with response time a linear function of the number of probe features in the study set. The effect was obtained for both stimuli with manipulated features (colored shapes) and words. Number of presented features is a global property of the study list, but existing global models calculate familiarity by averaging across item matches and cannot readily accommodate the data. The authors proposed that the probe's features are compared with a global representation of the study set's features.
作者们在一项短期项目识别任务中改变了否定性探测词与研究项目之间的相似度。当前模型将相似度视为探测词特征在研究集中出现次数的函数，而这个因素常常与探测词在研究集中出现的特征数量相混淆。无混淆的比较表明，表现仅反映了后一个因素，反应时间是研究集中探测词特征数量的线性函数。对于具有可操控特征的刺激物（彩色形状）和单词，都获得了这种效应。呈现特征的数量是研究列表的一个全局属性，但现有的全局模型通过对项目匹配进行平均来计算熟悉度，无法轻易地适应这些数据。作者们提出，探测词的特征是与研究集特征的全局表征进行比较的。
