Brain-Computer Interfaces leveraging Functional Near Infrared Spectroscopy (fNIRS), and Human-Computer-Human Interaction
Abstract
Interfaces which leverage knowledge about user state can help users in more ways than has been previously possible. Functional Near-Infrared Spectroscopy (fNIRS), a relatively low-cost and non-invasive method through which brain-activation information can be gleaned, can provide such information to help drive programmable interfaces. I will discuss my past, current, and future research that relies on fNIRS - specific projects include: an fNIRS-based BCI that helps a user while designing a home; and, using fNIRS-based BCI to drive a recommendation engine for video watching sessions.
I will further discuss potential future research centering on what I call Human-Computer-Human Interaction. This work focuses on investigating how digital communication channels support, limit, and change the content and quality of information exchanged between humans.
Zoom information:
https://tufts.zoom.us/j/148510644