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Title: State Transition of Gaze During Flight Simulation
Accession Number: 01472361
Record Type: Component
Availability: Transportation Research Board Business Office 500 Fifth Street, NW Abstract: The analysis of eye movements is a popular tool in traffic safety research. Among different motions of eye movements, gaze is a major parameter of eye tracking process. Besides fixation duration time and fixation duration percentage, transition matrix from one gaze state to the other can catch the dynamics of gaze patterns and capture the important features of eye movements. In this study, an inexpensive experiment system is designed to create a simulation environment where the participants can performance flight tasks. This system combines up-to-date eye tracker (FaceLAB 4.0), flight simulation (Microsoft Flight Simulator X and Logitech G940), and data management tools. Experiments are designed to test critical flight phases under different meteorological conditions. During the experiments, gaze views are divided into three zones: cabin instrument panel, outside and others. Markov Chain models are applied to analyze the data collected from the experiment system. State transition probability matrix and stationary distribution vector are computed. The result shows that there are no significant differences among gaze state transition matrices, for all the scenarios. In addition, the total flight time and gaze ratio on zones are unstable.
Supplemental Notes: This paper was sponsored by TRB committee AV090 Aviation Security and Emergency Management.
Monograph Title: Monograph Accession #: 01470560
Report/Paper Numbers: 13-1440
Language: English
Corporate Authors: Transportation Research Board 500 Fifth Street, NW Authors: Dong, ShenWang, NingZhang, YuSun, RuishanPagination: 14p
Publication Date: 2013
Conference:
Transportation Research Board 92nd Annual Meeting
Location:
Washington DC, United States Media Type: Digital/other
Features: Figures; References; Tables
TRT Terms: Subject Areas: Aviation; Safety and Human Factors; I83: Accidents and the Human Factor
Source Data: Transportation Research Board Annual Meeting 2013 Paper #13-1440
Files: TRIS, TRB, ATRI
Created Date: Feb 5 2013 12:22PM
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