Journal article
Cognitive Workload and Learning Assessment During the Implementation of a Next-Generation Air Traffic Control Technology Using Functional Near-Infrared Spectroscopy
IEEE transactions on human-machine systems, v 44(4), pp 429-440
Aug 2014
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Neuroimaging technologies, such as functional near-infrared spectroscopy (fNIR), could provide performance metrics directly from brain-based measures to assess safety and performance of operators in high-risk fields. In this paper, we objectively and subjectively examine the cognitive workload of air traffic control specialists utilizing a next-generation conflict resolution advisory. Credible differences were observed between continuously increasing workload levels that were induced by increasing the number of aircraft under control. In higher aircraft counts, a possible saturation in brain activity was realized in the fNIR data. A learning effect was also analyzed across a three-day/nine-session training period. The difference between Day 1 and Day 2 was credible, while there was a noncredible difference between Day 2 and Day 3. The results presented in this paper indicate some advantages in objective measures of cognitive workload assessment with fNIR cortical imaging over the subjective workload assessment keypad.
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Details
- Title
- Cognitive Workload and Learning Assessment During the Implementation of a Next-Generation Air Traffic Control Technology Using Functional Near-Infrared Spectroscopy
- Creators
- Joshua Harrison - Sch. of Biomed. Eng., Sci. & Health Syst., Drexel Univ., Philadelphia, PA, USAKurtulus Izzetoglu - Sch. of Biomed. Eng., Sci. & Health Syst., Drexel Univ., Philadelphia, PA, USAHasan Ayaz - Sch. of Biomed. Eng., Sci. & Health Syst., Drexel Univ., Philadelphia, PA, USABen Willems - Atlantic City Int. Airport, Fed. Aviation Adm. W. J. Hughes Tech. Center, Egg Harbor, NJ, USASehchang Sehchang Hah - Atlantic City Int. Airport, Fed. Aviation Adm. W. J. Hughes Tech. Center, Egg Harbor, NJ, USAUlf Ahlstrom - Atlantic City Int. Airport, Fed. Aviation Adm. W. J. Hughes Tech. Center, Egg Harbor, NJ, USAHyun Hyun Woo - Atlantic City Int. Airport, Fed. Aviation Adm. W. J. Hughes Tech. Center, Egg Harbor, NJ, USAPatricia A Shewokis - Sci. & Health Syst. & the Nutrition Sci. Dept., Drexel Univ., Philadelphia, PA, USAScott C Bunce - Penn State Hershey Med. Center, Penn State Coll. of Med., Hershey, PA, USABanu Onaral - Sch. of Biomed. Eng., Sci. & Health Syst., Drexel Univ., Philadelphia, PA, USA
- Publication Details
- IEEE transactions on human-machine systems, v 44(4), pp 429-440
- Publisher
- IEEE
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- School of Biomedical Engineering, Science, and Health Systems; Nutrition Sciences
- Web of Science ID
- WOS:000340436000001
- Scopus ID
- 2-s2.0-84904811737
- Other Identifier
- 991014877758104721
UN Sustainable Development Goals (SDGs)
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InCites Highlights
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Computer Science, Artificial Intelligence
- Computer Science, Cybernetics