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SPOT THE CHANGE

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Scientists have come closer to understanding change blindness -- the well-studied failure of humans to detect seemingly obvious changes to scenes around them -- with new research that used a computer-based model to predict what types of changes people are more likely to notice. Unlike previous research in which scientists studied change blindness by manually manipulating such pictures and making decisions about what to change, the computer model used in this study eliminated human bias. An algorithm lets the computer decide how to change the images that study participants were asked to view, Peter McOwan, professor of computer science, University of London, said.

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