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Full-Text Articles in Engineering
Detecting Periods Of Flight With High Task Load, James R. Parkinson, Steven J. Landry, Quang Dao, Caitlin Surakitbanharn
Detecting Periods Of Flight With High Task Load, James R. Parkinson, Steven J. Landry, Quang Dao, Caitlin Surakitbanharn
The Summer Undergraduate Research Fellowship (SURF) Symposium
Tools that predict dangerous working conditions empirically in the cockpit could greatly improve aviation safety. In an effort to lay the groundwork for such tools, this study will investigate whether a link exists between task load and pilots’ control strategies, their biometric data, and their planes’ position data. Using X Plane simulation software, an experiment will be run in which licensed pilots will fly a 3-nautical-mile approach into Mineta San Jose International Airport 4 times, under different task load conditions. During the flight, participants’ pupil diameters will be recorded along with the simulated aircraft position data and cognitive control modes. …
Identifying Mode Confusion In Recorded Aircraft Data, James Douglas Thomas, Yul Kwon, Steven J. Landry
Identifying Mode Confusion In Recorded Aircraft Data, James Douglas Thomas, Yul Kwon, Steven J. Landry
The Summer Undergraduate Research Fellowship (SURF) Symposium
In recent decades, commercial aviation accidents have occurred due to human-machine interaction (HMI) problems known as “mode confusion.” This is caused, in some cases, by a lack of understanding of onboard systems by pilots. Large amounts of Flight Operational Quality Assurance (FOQA) data are available, analysis of which could assist in identification of safety risks in daily operations. Through analysis of pilot reactions and recorded aircraft data, methods to detect mode confusion are developed to improve aviation safety. This study was conducted by inducing mode confusion into a flight simulation scenario and analyzing aircraft data to detect emerging patterns. Three …