Our machine learning and data science specialists are pulling together the knowledge generated by neuroscience and education teams, to create a powerful algorithm that accurately measures attention.

Using computer vision, facial recognition, and deep learning, the algorithm will quantify and evaluate moment-to-moment fluctuations in user attention, based on physiological variables.