Journal article
Investigating Mental Workload Changes in a Long Duration Supervisory Control Task
Interacting with computers, v 27(5), pp 512-520
01 Sep 2015
Abstract
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.
Metrics
Details
- Title
- Investigating Mental Workload Changes in a Long Duration Supervisory Control Task
- Creators
- Mark Boyer - MIT Lincoln LaboratoryM. L. Cummings - Duke UniversityLee B. Spence - MIT Lincoln LaboratoryErin T. Solovey - Drexel UniversityMaria L Boyer - School of Education (1997-)
- Publication Details
- Interacting with computers, v 27(5), pp 512-520
- Publisher
- Oxford Univ Press
- Number of pages
- 9
- Grant note
- FA8721-05-C0002 / Missile Defense Agency
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- School of Education
- Web of Science ID
- WOS:000364776100004
- Scopus ID
- 2-s2.0-84941908646
- Other Identifier
- 991019173632804721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Computer Science, Cybernetics
- Ergonomics