Book chapter
UAS Operator Workload Assessment During Search and Surveillance Tasks Through Simulated Fluctuations in Environmental Visibility
Augmented Cognition, pp 394-406
20 Jun 2019
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Unmanned aircraft system (UAS) sensor operators must maintain performance while tasked with multiple operations and objectives, yet are often subject to boredom and consequences of the prevalence-effect during area scanning and target identification tasks. Adapting training scenarios to accurately reflect real-world scenarios can help prepare sensor operators for their duty. Furthermore, integration of objective measures of cognitive workload and performance, through evaluation of functional near infrared spectroscopy (fNIRS) as a non-invasive measurement tool for monitor of higher-level cognitive functioning, can allow for quantitative assessment of human performance. This study sought to advance previous work regarding the assessment of cognitive and task performance in UAS sensor operators to evaluate expertise development and responsive changes in mental workload.
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Details
- Title
- UAS Operator Workload Assessment During Search and Surveillance Tasks Through Simulated Fluctuations in Environmental Visibility
- Creators
- Jaime Kerr - Drexel UniversityPratusha Reddy - Drexel UniversityShahar Kosti - Simlat, Miamisburg, USAKurtulus Izzetoglu - Drexel University
- Publication Details
- Augmented Cognition, pp 394-406
- Series
- Lecture Notes in Computer Science
- Publisher
- Springer International Publishing; Cham
- Resource Type
- Book chapter
- Language
- English
- Academic Unit
- School of Biomedical Engineering, Science, and Health Systems
- Web of Science ID
- WOS:000507986700028
- Scopus ID
- 2-s2.0-85069825352
- Other Identifier
- 991019168996604721
UN Sustainable Development Goals (SDGs)
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Behavioral Sciences
- Computer Science, Artificial Intelligence
- Computer Science, Cybernetics
- Computer Science, Interdisciplinary Applications