• Medientyp: E-Artikel
  • Titel: EEG Spectral Analysis of Workload for a Part-task UAV Simulation
  • Beteiligte: Roberts, Daniel M.; Taylor, Brian A.; Barrow, Jane H.; Robertson, Geoffrey; Buzzell, George; Sibley, Ciara; Cole, Anna; Coyne, Joseph T.; Baldwin, Carryl L.
  • Erschienen: SAGE Publications, 2010
  • Erschienen in: Proceedings of the Human Factors and Ergonomics Society Annual Meeting
  • Sprache: Englisch
  • DOI: 10.1177/154193121005400303
  • ISSN: 2169-5067; 1071-1813
  • Schlagwörter: General Medicine
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  • Beschreibung: <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>