Passive brain-computer interfaces, in which implicit input is derived from a user's changing brain activity without conscious effort from the user, may be one of the most promising applications of brain-computer interfaces because they can improve user performance without additional effort on the user's part. I seek to use physiological signals that correlate to particular brain states in order to adapt an interface while the user behaves normally. My research aims to develop strategies to

more »

... the interface to the user and the user's cognitive state using functional near-infrared spectroscopy (fNIRS), a non-invasive, lightweight brain-sensing technique. While passive brain-computer interfaces are currently being developed and researchers have shown their utility, there has been little effort to develop a framework or hierarchy for adaptation strategies.