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Monitoring task loading with multivariate EEG measures during complex forms of human-computer interactionElectroencephalographic (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.
Document ID
20040088434
Acquisition Source
Legacy CDMS
Document Type
Reprint (Version printed in journal)
Authors
Smith, M. E.
(San Francisco Brain Research Institute and SAM Technology California 94108, United States)
Gevins, A.
Brown, H.
Karnik, A.
Du, R.
Date Acquired
August 21, 2013
Publication Date
September 1, 2001
Publication Information
Publication: Human factors
Volume: 43
Issue: 3
ISSN: 0018-7208
Subject Category
Life Sciences (General)
Distribution Limits
Public
Copyright
Other
Keywords
NASA Discipline Space Human Factors
Non-NASA Center
Clinical Trial

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