Multi-modal sensing monitors workload in remotely piloted aircrafts
Multi-modal sensing monitors workload in remotely piloted aircrafts
Yu collaboration with Air Force Research Labs published in Human Intelligent Systems Integration
Yu, D., Antonik, C. W., Webber, F., Watz, E., & Bennett, W. (2020). Multi-modal physiological sensing approach for distinguishing high workload events in remotely piloted aircraft simulation. Human-Intelligent Systems Integration. doi:10.1007/s42454-020-00016-w
This manuscript is appearing in the Special Issue on “Human-Autonomy Teaming in Military Contexts”