Book chapter
Individual Differences in fNIRS Measures of Cognitive Workload During a UAS Mission
Augmented Cognition, pp 49-62
03 Jul 2021
Abstract
Unmanned aerial system (UAS) sensor operators continue to experience increasing levels of workload due to progressively complex systems, yet few studies have effectively recreated realistic transitional workload conditions. Human operators experience a variety of challenges during execution of tasks (e.g., visibility changes, object prevalence, sustained alertness), often becoming disengaged and hindering performance. Many studies have examined group-wise changes but exploring subject-dependent changes is critical to improving operator training efficacy, through personalization and enhancing engagement. This study sought to examine individual differences in human operator’s task performance observed via behavioral and neurophysiological measures during various workload conditions. Functional near infrared spectroscopy (fNIRS) is a commonly used non-invasive functional neuroimaging technique to obtain neurophysiological measures for detecting changes in mental workload in real-world settings. This protocol captured data from 13 novice participants who completed complex realistic tasks implemented using a high-fidelity simulator, with varying workload conditions resulting from changes in time-of-day. Participants’ behavioral performance and prefrontal cortex activation indicated higher levels of training were necessary to avoid overloading or disengagement from the workload condition.
Metrics
1 Record Views
2 citations in Scopus
Details
- Title
- Individual Differences in fNIRS Measures of Cognitive Workload During a UAS Mission
- Creators
- Jaime Kerr - Drexel UniversityCooper Molloy - Drexel UniversityPratusha Reddy - Drexel UniversityPatricia A. Shewokis - Drexel UniversityKurtulus Izzetoglu - Drexel University
- Publication Details
- Augmented Cognition, pp 49-62
- 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; Nutrition Sciences
- Scopus ID
- 2-s2.0-85112209040
- Other Identifier
- 991019174791504721