AI in BCI: The new era of human factor design and research

Over the past years, progress in Artificial Intelligence and Neuroscience has made possible brain activity interaction with computers and other devices. In particular, the advancement of various signal processing methodologies such as Electroencephalogram (EEG), combined with AI-powered algorithms, have enabled us to delve into the world of Brain-Computer Interfaces and to talk about a new era of human factor design and research. Brain-Computer Interfaces refer to devices that allow users to interact with computers, measuring brain activity through EEG, which recognizes the energy and frequency patterns of the brain. There are currently two types of Brain-Computer interfaces: invasive and non-invasive, and although both have their benefits, in this article we will focus on the non-invasive BCIs. By combining knowledge from Artificial Intelligence and specifically Machine Learning, Brain-Computer Interfaces have become a vital tool in aiding the accuracy and reliability of usability testing and user experience research, allowing us to talk about a new era of human factor design.