At UX Mining we are largely investing in R&D. Currently we are developing the first in the world AI emotion recognition adjusted specifically to emotions experienced during usability testing.
Thanks to this you can drive quantitative analysis from qualitative video recordings. Our AI algorithms, based on voice and face sentiment analysis, tag videos with the detected emotions. This way you can focus on the most important moments, instead on spending hours of watching recordings and manual clipping nor annotating.
The entire project is supported by the Polsih National Center of Research and Development. Our innovation was also appreciated by the Vestbee platform, naming our company among TOP AI startups in the CEE region - entire article can be read here.
How it works?
Through emotional intelligence, design products that users love!
Emotion recognition by speech
We reflect the state of the art in emotion recognition from the human voice. Its algorithms have been designed, to detect every smallest voice sentiment change and tag them on the video, so you know on which parts you should focus mostly.
Emotion recognition by face
UX Mining can measure directly from participant’s face mimic whether they are happy, saf, afraid, angry, or have a neutral state of mind. We detect short and uncontrolled micro-reactions that strongly correlate with UX and are relevant from an analytical perspective.
