Nosofsky Robert M, Kantner Justin
Department of Psychology, Indiana University, Bloomington 47405, USA.
Mem Cognit. 2006 Jan;34(1):112-24. doi: 10.3758/bf03193391.
Kahana and Sekuler (2002) conducted short-term perceptual recognition experiments and modeled the data with a noisy exemplar similarity model. They found model-based evidence that list homogeneity (i.e., the degree to which exemplars on a study list are similar to one another) exerted a significant impact on recognition performance--a finding that is not predicted by standard global familiarity models. A potential limitation of their experiments is that they tested complex stimuli in which psychological similarities among exemplars may have been misspecified. Also, the relative importance of list homogeneity was not compared with that of alternative forms of parametric variation in the model. We conducted conceptual replications of their experiments, using a simpler set of stimuli in which interexemplar similarities could be more precisely measured. Extensive model-based comparisons reveal, in accord with the results of Kahana and Sekuler, strong evidence for a role of listhomogeneity on old-new recognition performance. We suggest that subjects systematically adjust their response criteria on the basis of the homogeneity of the study list items.
卡哈纳和塞库勒（2002年）进行了短期知觉识别实验，并用一个有噪声的范例相似性模型对数据进行了建模。他们发现基于模型的证据表明，列表同质性（即学习列表上的范例彼此之间的相似程度）对识别性能有显著影响——这一发现是标准全局熟悉度模型所无法预测的。他们实验的一个潜在局限性在于，他们测试的是复杂刺激，其中范例之间的心理相似性可能被错误指定。此外，列表同质性的相对重要性并未与模型中参数变化的其他形式进行比较。我们使用一组更简单的刺激对他们的实验进行了概念性复制，在这些刺激中，范例间的相似性可以得到更精确的测量。基于模型的广泛比较表明，与卡哈纳和塞库勒的结果一致，有强有力的证据证明列表同质性在新旧识别性能中发挥了作用。我们认为，受试者会根据学习列表项目的同质性系统地调整他们的反应标准。
