Order Effect and Time Varying Categories

Lee-Xieng YangNational Chengchi University
Hao-Ting WangNational Chengchi University


The main purpose of this study is to examine how people learn time-varying categories as well as whether order effect exists in such learning. To this end, we design three types of category structures, in which the stimuli vary along trials in an ascending, descending, and quadratic trend. Also, tendency to repeat preceding category label as current response is regarded as evidence for order effect. The results show a clear order effect in these experiments. The modeling results reveal that GCM, which is modified to be sensitive to trial order and SDGCM, which relies on the similarity and dissimilarity to the exemplars for categorization, provide a good fit for all experiments. However, the rule-based model used by Navarro, Perfors, and Vong (2013), which changes the boundary trial by trial has difficulty accommodating the learning pattern in quadratic trend.


Order Effect and Time Varying Categories (160 KB)

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