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Meeting	ACGS Committee Meeting 129 - Colorado Springs, CO - October 2022
Agenda Location	7 SUBCOMMITTEE B – MISSILES AND SPACE 7.3 Predicting Impaired Human Performance in Aerospace Environments Using an Estimation Theory-Based Computational Mode
Title	Predicting Impaired Human Performance in Aerospace Environments Using an Estimation Theory-Based Computational Mode
Presenter	Torin Clark
Affiliation	University of Colorado
Available Downloads*	presentation
	Downloads are available to members who are logged in and either Active* or attended this meeting.
Abstract	Pilots of high-performance aircraft and astronauts experience unique inertial motion cues, impacting their perception of orientation and potentially impairing performance. In fact, pilot spatial disorientation remains a leading cause of Class A mishaps. Here, we develop a computational model based in estimation theory that can be used as a tool to predict impairment. Specifically, our approach uses real-time vehicle inertial motion cues with validated models of human sensory and central processing to predict when the pilot may be substantially spatially disoriented. We envision the tool could be used in real-time to trigger human-aiding interventions, countermeasures, or inform mission planning. This pilot aiding system can be used to assist the human operator when needed, but otherwise adds no additional burden in nominal situations.