Neural Correlates of Workload Transition in Multitasking: An ACT-R Model of Hysteresis Effect

Details

• Personal Author:
  House R ; Kim NY ; Nam CS ; Yun MH
• Description:
  This study investigated the effect of task demand transitions at multiple levels of analysis including behavioral performance, subjective rating, and brain effective connectivity, while comparing human data to Adaptive Control of Thought-Rational (ACT-R) simulated data. Three stages of task demand were designed and performed sequentially (Low-High-Low) during AF-MATB tasks, and the differences in neural connectivity during workload transition were identified. The NASA Task Load Index (NASA-TLX) and the Instantaneous Self-Assessment (ISA) were used to measure the subjective mental workload that accompanies the hysteresis effect in the task demand transitions. The results found significant hysteresis effects on performance and various brain network measures such as outflow of the prefrontal cortex and connectivity magnitude. These findings would assist in clarifying the direction and strength of the Granger Causality under demand transitions. As a result, these findings involving the neural mechanisms of hysteresis effects in multitasking environments may be utilized in applications of neuroergonomics research. The ability to compare data derived from human participants to data gathered by the ACT-R model allows researchers to better account for hysteresis effects in neuro-cognitive models in the future. [Description provided by NIOSH]
• Subjects:
  Behavior Nervous System Occupational Health Safety
• Keywords:
  Author Keywords: ACT-R Brain Function Cognitive Function Cognitive Modeling EEG Effective Connectivity Granger Causality Multitasking Neural Correlates Performance Capability Task Performance

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• ISSN:
  1662-5161
• Document Type:
  Text
• Funding:
  Grant
• Genre:
  Journal Article
• Place as Subject:
  North Carolina ; OSHA Region 4
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Volume:
  12
• NIOSHTIC Number:
  nn:20054887
• Citation:
  Front Hum Neurosci 2019 Jan; 12:535
• Contact Point Address:
  Chang S. Nam, Edward P. Fitts Department of Industrial and Systems Engineering, North Carolina State University, Raleigh, NC
• Email:
  csnam@ncsu.edu
• Federal Fiscal Year:
  2019
• Performing Organization:
  University of North Carolina, Chapel Hill
• Peer Reviewed:
  True
• Start Date:
  20050701
• Source Full Name:
  Frontiers in Human Neuroscience
• End Date:
  20270630
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:b1cd9380523be224f2033616fcb296a9134c1b6ecddfecc0e5d770e291d31c8ddc1fa62e54c5365f08b2b2805b353ba1af4f201ab356425b5c6cfb1b2040ab78
• Download URL:
  https://stacks.cdc.gov/view/cdc/217300/cdc_217300_DS1.pdf
• File Type:
  [PDF - 3.58 MB ]