EEG and eye-tracking based measures for enhanced training.

Abstract

This paper describes a project whose goal was to establish the feasibility of using unobtrusive cognitive assessment methodologies in order to optimize efficiency and expediency of training. QUASAR, EyeTracking, Inc. (ETI), and Safe Passage International (SPI), teamed to demonstrate correlation between EEG and eye-tracking based cognitive workload, performance assessment and subject expertise on X-Ray screening tasks. Results indicate significant correlation between cognitive workload metrics based on EEG and eye-tracking measurements recorded during a simulated baggage screening task and subject expertise and error rates in that same task. These results suggest that cognitive monitoring could be useful in improving training efficiency by enabling training paradigms that adapts to increasing expertise.

DOI: 10.1109/EMBC.2012.6346256

Cite this paper

@article{Soussou2012EEGAE, title={EEG and eye-tracking based measures for enhanced training.}, author={Walid Soussou and Michael Rooksby and Charles Forty and James Weatherhead and Sandra Marshall}, journal={Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference}, year={2012}, volume={2012}, pages={1623-6} }