The extended generalized context model for response times (K. Lamberts, 2000) was designed to account for choice proportions and response times in perceptual categorization. In this article, the hypothesis that the model also offers an account of accuracy and response times in absolute identification was investigated. The model was applied to the data from 2 absolute identification experiments and provided a good account of the bow and the set-size effects in accuracy and response time data from individual participants, including the response time distributions for individual stimuli. The model applications demonstrated that exemplar-based process models offer a viable account of absolute identification data.

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Potts and Shanks (2014) recently reported that making mistakes improved the encoding of novel information compared with simply studying. This benefit of generating errors is counterintuitive, since it resulted in less study time and more opportunity for proactive interference. Five experiments examined the effect of generating errors versus studying on item recognition, cued recall, associative recognition, two-alternative forced choice and multiple-choice performance. Following Potts and Shanks (2014), participants first attempted to learn the English definitions of either very rare English words or Euskara nouns. During encoding, participants either guessed the definition (and almost always made an error) before the correct definition was revealed, or simply studied the words for an equivalent period. Experiments 1-4 used rare English words. In these experiments, generating errors led to better subsequent recognition of both the cues and targets compared with studying (Experiments 1 and 3). Tests of cued recall and associative recognition, by contrast, revealed no significant benefit of generating errors over studying (Experiments 1-3). Generating errors during encoding also improved performance on a two-alternative forced choice test when the correct target was presented with a novel foil, but not when the familiarity of the target and the foil was matched (Experiment 4). In Experiment 5, a different set of materials-Euskara nouns-and a different (intermixed) encoding procedure was adopted. Here, guessing improved target recognition (performance was improved on a multiple-choice test with unfamiliar foils), but impaired cued recall performance. These results suggest that, when learning word pairs that do not have a pre-existing semantic association, generating errors strengthens the cues and targets in isolation, but does not strengthen the cue-target associations.

A four-part experiment was carried out to study the relationship between the time course of object-feature perception and the time course of retrieval of object information from memory. The experiment consisted of 2 perceptual matching tasks, and 2 perceptual recognition tasks. In all 4 tasks, participants provided speeded judgments of the identity of 2 objects. A stochastic feature-sampling model was used to estimate the time needed for feature perception and the time needed for retrieval of feature information. No evidence was found for a systematic relationship between perception times and retrieval times for individual features. Indeed, the model applications indicated that retrieval times were constant for different features, whereas perception rates varied across the features.