Imagery encoding effects on source-monitoring errors were explored using the Deese-Roediger-McDermott paradigm in two experiments. While viewing thematically related lists embedded in mixed picture/word presentations, participants were asked to generate images of objects or words (Experiment 1) or to simply name the items (Experiment 2). An encoding task intended to induce spontaneous images served as a control for the explicit imagery instruction conditions (Experiment 1). On the picture/word source-monitoring tests, participants were much more likely to report "seeing" a picture of an item presented as a word than the converse particularly when images were induced spontaneously. However, this picture misattribution error was reversed after generating images of words (Experiment 1) and was eliminated after simply labelling the items (Experiment 2). Thus source misattributions were sensitive to the processes giving rise to imagery experiences (spontaneous vs deliberate), the kinds of images generated (object vs word images), and the ways in which materials were presented (as pictures vs words).
In the two experiments reported here the basis of the beneficial effects of generating images on false recognition errors is investigated. Acts of generating (descriptions, images, or both) were manipulated while examining the effects of the source of descriptions guiding imagery generations (participant vs peer). False recognition errors were relatively high across encoding conditions except when imagery generations were based on participants' own descriptions (Experiments 1 and 2). These differences in the acts of generating were not attributable to differences in the cohesiveness of descriptions themselves. Acts of generating led to greater "remember" responses than "know" responses only when participants were not the source of the descriptions used to generate images (Experiment 2). Results highlight the importance of examining the effects of the source of descriptions for guiding imagery (participant or peer) when testing predictions about the effects of imagery encoding on false recognition errors.
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