UX Designer at Snowdog
We created a SaaS solution for machine learning product recommendation. Product is the one - but how to present it in an intuitive way? Check how our UX/UI team approached it.
Happiness, determination, sadness, anger, shock — research shows that people are perfectly capable of accurately recognizing these (and many more!) emotions from pictures that have been cropped to only show eyes. The way they can squint, widen, shrink or expand can tell us a lot — after all, as the saying goes, eyes are windows to the soul. But with technology, our eyes can tell us even more. Eye-tracking is by no means new. With a history dating back to 1879, it began with researchers observing naked eyes during reading. Nowadays, this technology has advanced and become accessible even to smaller businesses, who can use it and gain valuable data. At Snowdog, we are always eyeing the next thing to assist us in helping our clients in new and innovative ways. We decided to invest in eye-tracking equipment and analysis software because of its on and offline applications, and it’s potential to further enhance the capabilities of our UX research department. We’d like to devote this space to talking a bit about what eye tracking is, how it can be applied in user experience research and how we are going to use it at Snowdog.