Publications

Real time assessment of cognitive state: Research and implementation challenges

Trumbo, Michael C.; Armenta, Mika; Haass, Michael J.; Butler, Karin B.; Jones, Aaron P.; Robinson, Charles S.H.

Inferring the cognitive state of an individual in real time during task performance allows for implementation of corrective measures prior to the occurrence of an error. Current technology allows for real time cognitive state assessment based on objective physiological data though techniques such as neuroimaging and eye tracking. Although early results indicate effective construction of classifiers that distinguish between cognitive states in real time is a possibility in some settings, implementation of these classifiers into real world settings poses a number of challenges. Cognitive states of interest must be sufficiently distinct to allow for continuous discrimination in the operational environment using technology that is currently available as well as practical to implement.