Investigating mental workload changes in a long duration supervisory control task

Published

Journal Article

© The Author 2015. With improving automation in many critical domains, operators will be expected to handle long periods of low task load while monitoring a system, and possibly responding to emergent situations. Monitoring the psychophysiological state of the operator during low task load may detect maladapted attention states in order to predict performance and facilitate a more effective workload transition during critical periods. This research explored the question of detecting anomalous attention states during transitions to high workload following extended periods of boredom using a non-invasive neuroimaging technique called functional near-infrared spectroscopy (fNIRS). Subjects at the point of lowest engagement and priming had a diminished hemodynamic response and performed worse on missile defense task, showing fNIRS may be useful for concurrent monitoring of the operator in such settings.

Full Text

Duke Authors

Cited Authors

  • Boyer, M; Cummings, ML; Spence, LB; Solovey, ET

Published Date

  • January 1, 2015

Published In

Volume / Issue

  • 27 / 5

Start / End Page

  • 512 - 520

International Standard Serial Number (ISSN)

  • 0953-5438

Digital Object Identifier (DOI)

  • 10.1093/iwc/iwv012

Citation Source

  • Scopus