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Analysis of Eye-Tracking Data with Regards to the Complexity of Flight Deck Information Automation and Management - Inattentional Blindness, System State Awareness, and EFB Usage
Author(s) -
Evan T. Dill,
Steven D. Young
Publication year - 2015
Publication title -
14th aiaa aviation technology, integration, and operations conference
Language(s) - English
Resource type - Conference proceedings
DOI - 10.2514/6.2015-2901
Subject(s) - inattentional blindness , computer science , automation , eye tracking , cockpit , blindness , state (computer science) , aeronautics , engineering , artificial intelligence , psychology , optometry , mechanical engineering , neuroscience , perception , medicine , algorithm
In the constant drive to further the safety and efficiency of air travel, the complexity of avionics-related systems, and the procedures for interacting with these systems, appear to be on an ever-increasing trend. While this growing complexity often yields productive results with respect to system capabilities and flight efficiency, it can place a larger burden on pilots to manage increasing amounts of information and to understand intricate system designs. Evidence supporting this observation is becoming widespread, yet has been largely anecdotal or the result of subjective analysis. One way to gain more insight into this issue is through experimentation using more objective measures or indicators. This study utilizes and analyzes eye-tracking data obtained during a high-fidelity flight simulation study wherein many of the complexities of current flight decks, as well as those planned for the next generation air transportation system (NextGen), were emulated. The following paper presents the findings of this study with a focus on electronic flight bag (EFB) usage, system state awareness (SSA) and events involving suspected inattentional blindness (IB).

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