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Wetware, Hardware, or Software Incapacitation: Observational Methods to Determine When Autonomy Should Assume ControlControl-theoretic modeling of human operator's dynamic behavior in manual control tasks has a long, rich history. There has been significant work on techniques used to identify the pilot model of a given structure. This research attempts to go beyond pilot identification based on experimental data to develop a predictor of pilot behavior. Two methods for pre-dicting pilot stick input during changing aircraft dynamics and deducing changes in pilot behavior are presented This approach may also have the capability to detect a change in a subject due to workload, engagement, etc., or the effects of changes in vehicle dynamics on the pilot. With this ability to detect changes in piloting behavior, the possibility now exists to mediate human adverse behaviors, hardware failures, and software anomalies with autono-my that may ameliorate these undesirable effects. However, appropriate timing of when au-tonomy should assume control is dependent on criticality of actions to safety, sensitivity of methods to accurately detect these adverse changes, and effects of changes in levels of auto-mation of the system as a whole.
Document ID
Document Type
Conference Paper
Trujillo, Anna C.
(NASA Langley Research Center Hampton, VA, United States)
Gregory, Irene M.
(NASA Langley Research Center Hampton, VA, United States)
Date Acquired
September 8, 2014
Publication Date
June 16, 2014
Subject Category
Aircraft Stability And Control
Aeronautics (General)
Report/Patent Number
AIAA Paper 2014-2704
Meeting Information
AVIATION 2014 (The Aviation and Aeronautics Forum and Exposition)(Atlanta, GA)
Funding Number(s)
WBS: WBS 432938.
Distribution Limits
Work of the US Gov. Public Use Permitted.
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