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

Frontiers in Human Neuroscience

Myung H. Yun¹  Russell House²  Chang S. Nam³  Na Young Kim³ 

[1] Department of Industrial Engineering, Seoul National University, Seoul, South Korea;Department of Psychology, North Carolina State University, Raleigh, NC, United States;Edward P. Fitts Department of Industrial and Systems Engineering, North Carolina State University, Raleigh, NC, United States;

关键词: ACT-R;    EEG;    neural correlates;    Granger causality;    effective connectivity;    multitasking;   

DOI  :  10.3389/fnhum.2018.00535

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown