Visual Attention in the Blink of an Eye: Applying Years of Vision Science to Design Testing by Dawn Cunningham of 3M - Presented at the Insight Innovation eXchange North America 2013
Eye tracking in situ is expensive and invasive – while the need to communicate effectively on pack and at the shelf continues to grow in importance. In the ’60′s, 3M began studying vision science to understand traffic safety and to protect roadside construction workers. The sphere of vision-critical products that 3M produces has continued to expand. Now, compiling over 40 years of vision research, 3M has developed a tool to give you fast and dynamic feedback on your designs or shelf set. It can tell you instantly what the brain instinctively decides will get attention!
[Webinar] Applications of Psycho-physiological Measures in Holistic Consumer ...InsightInnovation
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Visual Attention in the Blink of an Eye: Applying Years of Vision Science to Design Testing by Dawn Cunningham of 3M - Presented at the Insight Innovation eXchange North America 2013
Intense competition for our attentionBombarded with messages vying for your attention – up to 3000 per daydon’t notice most of them even though we’ve been exposed. The fact that you and the message are in reasonable proximity for you to see it doesn’t mean you saw it. Our brains can’t truly process that many messages. We can’t notice, absorb, or even judge the personal merit of 3,000 visual attacks a day.
In the thousands of images, most are a blur.And even with the best of intentions, most go unnoticed
… of consuming an image or environment
What if this was your “buy now” button? It is hard for anyone who KNOWS it’s there, to realize that it’s invisible to others.
Beginning with highway safety…
“visual vampires” – they unexpectedly suck all the visual attention!
VAS tells you what will be seen. It will NOT tell you if they like it. It will NOT tell you if it motivates them.
VAS tells you what will be seen. It will NOT tell you if they like it. It will NOT tell you if it motivates them.
VAS tells you what will be seen. It will NOT tell you if they like it. It will NOT tell you if it motivates them.
VAS tells you what will be seen. It will NOT tell you if they like it. It will NOT tell you if it motivates them.
VAS tells you what will be seen. It will NOT tell you if they like it. It will NOT tell you if it motivates them.
VAS tells you what will be seen. It will NOT tell you if they like it. It will NOT tell you if it motivates them.