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Memory for Computer-Generated Graphics: Boundary Extension in Photographic vs. Computer-Generated Images
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by Gale M. Lucas, Bennett Rainville, Priya Bhan, Jenna Rosenberg, Kari Proud, and Susan M. Koger - Willamette University
Categories: Cognitive | Memory
Boundary extension, the tendency to remember more of an image than was originally presented, has been shown to occur for a variety of stimuli. The present investigation sought to determine if boundary extension occurs with greater or lesser frequency for computer-generated graphics compared to photographs. Experimenters presented participants with both types of images on computer screens, and a recognition test measured errors of boundary extension and restriction. Findings showed that boundary extension occurred more often for computer-generated images than for photographs of real-world objects, but there was no difference in boundary restriction. These results add support for the extension-normalization model of boundary extension. Moreover, they demonstrate that boundary extension and restriction do occur for simple novel computer-generated stimuli.