Correspondence computations in visual cognition

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Date
2014-03-19
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Johns Hopkins University
Abstract
15 behavioral experiments were conducted to investigate the role of object correspondence computations in visual cognition. Correspondence computations refer, here, to algorithms that identify relationships between objects in temporally separate encounters. In Experiment 1-5, I hypothesized that tracking failures occur because of correspondence failures during close encounters of targets and nontargets. To test this idea, I provided observers with different surface feature information to nontargets whenever they approached within 4° of a target (Experiment 1). This manipulation significantly improved performance by alleviating correspondence challenges. Two control experiments showed that this color change benefit is not merely due to target recovery (Experiment 2 and 4). A follow-up experiment measured the distance at which objects correspondence becomes challenging (Experiment 3). And an additional experiment demonstrated that the overall frequency of target-nontarget close encounters predict human performance (Experiment 5). Experiment 6-10 explored the role of object correspondence in the context of spatial working memory. Experiment 6 supplied evidence of object correspondences in a typical spatial working memory task through a trial specific analysis. In addition, a model that implements correspondence algorithms successfully predicted human performance without assuming any independent memory-related limits. Experiments 7 and 8 employed a preview display that indirectly provided information about memory location to be tested. This manipulation improved SWM performance dramatically (e.g. performance with 8 objects were comparable to 2 objects). A control experiment showed that the improved performance is not due to mere reactivation of memory representations (Experiment 9). Additional experiment showed that object colors do not support correspondence computations in this context. Experiment 11-15 employed integral features to prevent correspondence failures in a visual working memory task. I reasoned that integral features can be used to solve correspondence problems by preventing confusions between objects. Experiment 11 and 12 independently identified integral features using perceptual sorting experiments. When these features were used in change judgment tasks, working memory with two objects produced performance as precise as with one (Experiments 13-15). Taken together, these results suggest that object correspondence play a crucial role in the constraints typically observed in visual cognition.
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Keywords
Visual cognition, visual working memory, multiple object tracking, correspondence problems, vision
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