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EEG Spectral Analysis of Workload for a Part-task UAV Simulation

Authors :
Anna Cole
George A. Buzzell
Daniel M. Roberts
Brian A. Taylor
Geoffrey Robertson
Ciara Sibley
Jane H. Barrow
Carryl L. Baldwin
Joseph T. Coyne
Source :
Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 54:200-204
Publication Year :
2010
Publisher :
SAGE Publications, 2010.

Abstract

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.

Details

ISSN :
10711813 and 21695067
Volume :
54
Database :
OpenAIRE
Journal :
Proceedings of the Human Factors and Ergonomics Society Annual Meeting
Accession number :
edsair.doi...........2d4efb8bd36461100b07930ef37d9441
Full Text :
https://doi.org/10.1177/154193121005400303