• Media type: E-Article
  • Title: EEG Spectral Analysis of Workload for a Part-task UAV Simulation
  • Contributor: Roberts, Daniel M.; Taylor, Brian A.; Barrow, Jane H.; Robertson, Geoffrey; Buzzell, George; Sibley, Ciara; Cole, Anna; Coyne, Joseph T.; Baldwin, Carryl L.
  • imprint: SAGE Publications, 2010
  • Published in: Proceedings of the Human Factors and Ergonomics Society Annual Meeting
  • Language: English
  • DOI: 10.1177/154193121005400303
  • ISSN: 2169-5067; 1071-1813
  • Keywords: General Medicine
  • Origination:
  • Footnote:
  • Description: <jats:p> Electroencephalography (EEG) has the prospect of providing a means to gauge operator workload in a manner that does not intrude on the task being performed. Specifically, it has been proposed that the technique could be used as a method to speed the learning of a task, by adjusting the task to suit the state of the learner. The present study recorded EEG while participants performed a simulated Unmanned Aerial Vehicle (UAV) reconnaissance task. Analysis of power in three EEG frequency bands of interest found differences between the types of task being performed; however more complex analysis may be necessary to discern levels of difficulty within the task. </jats:p>