Queen Mary, University of London scientists have developed a computer-based model to better understand change blindness--the inability for people to see obvious changes to scenes around them. "The biologically inspired mathematics we have developed and tested can have future uses in letting computer vision systems such as robots detect interesting elements in their visual environment," says Queen Mary professor Peter McOwan. As part of the study, participants were asked to spot the differences between pre-change and post-change versions of a series of pictures. To eliminate bias, the researchers developed an algorithm that enabled the computer determine how to change the images that study participants were asked to view. In addition to being able to predict change blindness, the research showed that the addition or subtraction of an object from the scene is detected more often than changes in the color of the object. The researchers say the model will be useful in designing displays for road signs, emergency services, security, and surveillance to draw attention to a change or part of the display that requires immediate attention.
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