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Multimodal Physiological Models of Situation Awareness
DescriptionSituation awareness (SA) is comprised of three levels: the perception of elements in the environment, the comprehension of their meaning, and their projection into the future. Due to the criticality of SA for safety in human operations extensive work has sought physiological correlates of SA in human operators. If implemented in real-time operations, physiological indicators of good and bad SA could improve safety for operators in high-stakes scenarios such as first responders. This information regarding operator SA could be used to develop autonomous teammates that identify and respond to critical shifts in SA before adverse situations have time to develop. This work incorporates a broad combination of sensors to capture more variance in SA, leverages three linear multiple regression models to predict the SA of an operator along a continuum at each of the three levels, and assesses generalizability of these models to new operators and unseen scenarios.
Event Type
Lecture
TimeThursday, September 12th8:30am - 8:50am MST
LocationFlagstaff
Tracks
Human AI Robot Teaming (AI)