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Human Factors: The Journal of the Human Factors and Ergonomics Society
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Monitoring Task Loading with Multivariate EEG Measures during Complex Forms of Human-Computer Interaction

Michael E. Smith

San Francisco Brain Research Institute and SAM Technology, San Francisco, California

Alan Gevins

San Francisco Brain Research Institute and SAM Technology, San Francisco, California

Halle Brown

San Francisco Brain Research Institute and SAM Technology, San Francisco, California

Arati Karnik

San Francisco Brain Research Institute and SAM Technology, San Francisco, California

Robert Du

San Francisco Brain Research Institute and SAM Technology, San Francisco, California

Electroencephalographic (EEG) recordings were made while 16 participants performed versions of a personal-computer-based flight simulation task of low, moderate, or high difficulty. As task difficulty increased, frontal midline theta EEG activity increased and alpha band activity decreased. A participant-specific function that combined multiple EEG features to create a single load index was derived from a sample of each participant's data and then applied to new test data from that participant. Index values were computed for every 4 s of task data. Across participants, mean task load index values increased systematically with increasing task difficulty and differed significantly between the different task versions. Actual or potential applications of this research include the use of multivariate EEG based methods to monitor task loading during naturalistic computer-based work.

Human Factors: The Journal of the Human Factors and Ergonomics Society, Vol. 43, No. 3, 366-380 (2001)
DOI: 10.1518/001872001775898287
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