Assessing Continuous Operator Workload With a Hybrid Scaffolded Neuroergonomic Modeling Approach.

Journal: Human factors
Published Date:

Abstract

OBJECTIVE: We aimed to predict operator workload from neurological data using statistical learning methods to fit neurological-to-state-assessment models.

Authors

  • Brett J Borghetti
    Air Force Institute of Technology, Dayton, Ohio.
  • Joseph J Giametta
    Air Force Institute of Technology, Dayton, Ohio.
  • Christina F Rusnock
    Air Force Institute of Technology, Dayton, Ohio.