Neural Correlates of Workload Transition in Multitasking: An ACT-R Model of Hysteresis Effect
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 w...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2019-01-01
|
| Series: | Frontiers in Human Neuroscience |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/article/10.3389/fnhum.2018.00535/full |
| _version_ | 1818907494799376384 |
|---|---|
| author | Na Young Kim Russell House Myung H. Yun Chang S. Nam |
| author_facet | Na Young Kim Russell House Myung H. Yun Chang S. Nam |
| author_sort | Na Young Kim |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-12-19T21:56:01Z |
| format | Article |
| id | doaj.art-cfe4cc7d9b1243689074157aab3df6d1 |
| institution | Directory Open Access Journal |
| issn | 1662-5161 |
| language | English |
| last_indexed | 2024-12-19T21:56:01Z |
| publishDate | 2019-01-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Human Neuroscience |
| spelling | doaj.art-cfe4cc7d9b1243689074157aab3df6d12022-12-21T20:04:17ZengFrontiers Media S.A.Frontiers in Human Neuroscience1662-51612019-01-011210.3389/fnhum.2018.00535422106Neural Correlates of Workload Transition in Multitasking: An ACT-R Model of Hysteresis EffectNa Young Kim0Russell House1Myung H. Yun2Chang S. Nam3Edward P. Fitts Department of Industrial and Systems Engineering, North Carolina State University, Raleigh, NC, United StatesDepartment of Psychology, North Carolina State University, Raleigh, NC, United StatesDepartment of Industrial Engineering, Seoul National University, Seoul, South KoreaEdward P. Fitts Department of Industrial and Systems Engineering, North Carolina State University, Raleigh, NC, United StatesThis 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.https://www.frontiersin.org/article/10.3389/fnhum.2018.00535/fullACT-REEGneural correlatesGranger causalityeffective connectivitymultitasking |
| spellingShingle | Na Young Kim Russell House Myung H. Yun Chang S. Nam Neural Correlates of Workload Transition in Multitasking: An ACT-R Model of Hysteresis Effect Frontiers in Human Neuroscience ACT-R EEG neural correlates Granger causality effective connectivity multitasking |
| title | Neural Correlates of Workload Transition in Multitasking: An ACT-R Model of Hysteresis Effect |
| title_full | Neural Correlates of Workload Transition in Multitasking: An ACT-R Model of Hysteresis Effect |
| title_fullStr | Neural Correlates of Workload Transition in Multitasking: An ACT-R Model of Hysteresis Effect |
| title_full_unstemmed | Neural Correlates of Workload Transition in Multitasking: An ACT-R Model of Hysteresis Effect |
| title_short | Neural Correlates of Workload Transition in Multitasking: An ACT-R Model of Hysteresis Effect |
| title_sort | neural correlates of workload transition in multitasking an act r model of hysteresis effect |
| topic | ACT-R EEG neural correlates Granger causality effective connectivity multitasking |
| url | https://www.frontiersin.org/article/10.3389/fnhum.2018.00535/full |
| work_keys_str_mv | AT nayoungkim neuralcorrelatesofworkloadtransitioninmultitaskinganactrmodelofhysteresiseffect AT russellhouse neuralcorrelatesofworkloadtransitioninmultitaskinganactrmodelofhysteresiseffect AT myunghyun neuralcorrelatesofworkloadtransitioninmultitaskinganactrmodelofhysteresiseffect AT changsnam neuralcorrelatesofworkloadtransitioninmultitaskinganactrmodelofhysteresiseffect |