Normally, people do well on the test, easily spotting changes by simply paying careful attention. But Lavie had a trick up her sleeve. In earlier experiments, she had subjects take the test while an MRI machine scanned their brains. The results indicated that the parietal cortex had something to do with visual processing even though it's not part of the brain region traditionally thought to help code for visual awareness.
So Lavie put the parietal cortex to the test again. She asked eight volunteers to take the face test while seated under a transcranial magnetic stimulator (TMS), which targets a particular brain region with a magnetic field that temporarily disrupts electrical activity in the area it's set to disable. Then, presto!"People are surprisingly not able to [recognize the changes] if their attention is diverted, or if the activity in the parietal cortex is disrupted by using a TMS machine," Lavie says.
So, change blindness tricks the brain into temporarily tricking the eye. But she stresses that we needn't be visually distracted to experience change blindness: "You may think that in order to notice important changes, say in situations where you're driving, all you need is to put your eyes on the road. But our research tells us that this is not enough, that the brain simply doesn't work in this way… You have to have your attention and your parietal cortex on the road as well," she says. "So, in other words, it's not just your eye that has to be on it in order to perceive a change, but it's also your mind's eye."
That means change blindness is potentially as dangerous as it is enjoyable, resulting in visual mishaps in everyday life, like missing a changing traffic signal because you're talking and driving.
Lavie's advice for combating change blindness on the road — minimize distractions, unless you happen to be a magician.
This research was published in Cerebral Cortex, November 2005 and was funded by the Medical Research Council (UK), the Royal Society (UK), the Wellcome Trust and the Institute of Cognitive Neuroscience.