Methods for Estimating User State from Real-time fNIRS Data

Paste the appropriate copyright statement here. ACM now supports three different copyright statements: • ACM copyright: ACM holds the copyright on the work. This is the historical approach. • License: The author(s) retain copyright, but ACM receives an exclusive publication license. • Open Access: The author(s) wish to pay for the work to be open access. The additional fee must be paid to ACM. This text field is large enough to hold the appropriate release statement assuming it is single spaced in a sans-serif 7 point font. Every submission will be assigned their own unique DOI string to be included here. Abstract Implicit user interfaces depend on an accurate and realtime stream of predictions about the user’s state. This paper compares advantages and disadvantages of two overarching approaches for solving the challenge of converting live physiological data into plausible estimates of the user’s state in the context of fNIRS-based adaptive user interfaces.