A CLOSED-LOOP SYSTEM FOR EXAMINING PSYCHOPHYSIOLOGICAL MEASURES FOR ADAPTIVE TASK ALLOCATION

This paper describes the evaluation of a closed-loop system to determine its efficacy in using psychophysiological indexes to moderate workload. Participants were asked to perform either 1 or 3 tasks from the Multiattribute Task Battery and complete the NASA Task Load Index after each trial. An electroencephalogram (EEG) was continuously sampled while they performed the tasks, and an EEG index was derived. The system made allocation decisions as a function of the level of operator engagement based on the value of the EEG index. Results of the study demonstrated that it was possible to moderate an operator's level of engagement through a closed-loop system driven by the operator's own EEG. The system also had a significant impact on behavioral, subjective, and psychophysiological correlates of workload as task load increased. The theoretical and practical implications of these results for adaptive automation are discussed.

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  • Corporate Authors:

    Lawrence Erlbaum Associates, Incorporated

    10 Industrial Avenue
    Mahwah, NJ  United States  07430-2262
  • Authors:
    • Prinzel, L J
    • Freeman, F G
    • Scerbo, M W
    • Mikulka, P J
    • Pope, A T
  • Publication Date: 2000

Language

  • English

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Filing Info

  • Accession Number: 00800389
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Oct 16 2000 12:00AM