Quantifying the effect of a digital experience on human observers is a common practice to estimate its viability for a given communication intent. Standard methods like Eye-tracking or psychophysical techniques facilitate successful solutions, but they often come with a high cost in maintenance and time spent. Today it is possible to have instant, out-of-the-box and scientifically reliable insights into the usability and appeal of visual designs with EyeQuant.

 

Its technology includes deep neural networks that learn from experiment data gathered and analysed by experts in the fields of neuroscience and psychology. EyeQuant offers its prediction services on the web platform empowering customers to make data-driven decisions on their creative work. An additional API for partner integrations covers demand on a massive scale. This talk will present EyeQuant’s scientific and technical field of operation as well as customer use-cases explaining how the technology enters workflows of teams that iterate, optimize and select designs.