Using brain-computer interfaces for implicit input

Daniel Afergan
2014 Proceedings of the adjunct publication of the 27th annual ACM symposium on User interface software and technology - UIST'14 Adjunct  
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.
doi:10.1145/2658779.2661166 dblp:conf/uist/Afergan14 fatcat:rea73ybkc5c3pi2stmdsjcap3u