By Burkard Wördenweber, Jörg Wallaschek, Peter Boyce, Donald D. Hoffman
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Fig. 16 Fig. 17 Fig. 16 shows a view of Venice. Fig. 17 shows the same view, but with one major change to the image. Can you detect the change? Most observers are surprised how long it takes to detect the difference. This is an example of change blindness, and reveals a limitation of human vision that is critical in the context of driving. But motions do not always cooperate by occurring one at a time, and this can have tragic consequences for driving. A city road on a busy day typically displays a wide variety of movements at any one moment.
This is of obvious adaptive significance. A movement in the bushes at the side might be prey or predator, and those who pay attention promptly are more likely to survive. Fig. 16 Fig. 17 Fig. 16 shows a view of Venice. Fig. 17 shows the same view, but with one major change to the image. Can you detect the change? Most observers are surprised how long it takes to detect the difference. This is an example of change blindness, and reveals a limitation of human vision that is critical in the context of driving.
Indeed it can. One can extend SDT so that it gives estimates of detection ability that make no assumptions at all about the underlying probability distributions. The idea is to measure empirically several points on the ROC curve of an observer. Then take the area under the ROC curve, a quantity usually called Az, as the measure of detection ability. Az can vary from 0 to 1. 5 indicate no detection ability. 5, the higher the value the greater the detection ability, with a value of 1 indicating perfect detection ability.