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Visual scan path analysis using eye tracking data
Ziho KangIndustrial and Systems Engineering
Characterizing eye tracking data through data analysis algorithms. E.g. Visual scanning sequence comparison methods, or clustering methods.
Evaluating human performance. E.g. Whether individuals were interrogating aircraft pairs (or groups) that would collide.
Using eye tracking data as a learning method.
E.g. Using experts’ eye tracking data to teach the novices.
Air traffic management (collaborating with FAA Civil Aerospace Medical Institute)
Collaboration opportunities through eye tracking research
Develop (full) automation methods for data analysis and visualization: E.g. Characterizing complex scan paths.Develop effective methods on human performance analysis: E.g. Workload.
Apply eye tracking research in different research areas:
E.g. Healthcare (autism), Education (reading), Weather system (forecasting).
State-of-the-art eye tracker(s) to be purchased with the sampling rate at 250-500
Relevant publications in eye tracking research
Design concepts and algorithmsZ. Kang & S. J. Landry. (2015). An eye movement analysis algorithm for a multi-element target tracking task: Maximum transition- based agglomerative hierarchical clustering.
IEEE Transactions on Human-Machine Systems, 45(1), 13-24.
& E. J. Bass. (2014). Supporting the eye tracking analysis of multiple moving targets: Design concept and algorithm. In
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics
San Diego, CA.
Understanding and utilizing cognitive processes
& S. J. Landry. (2014). Using
as a learning method for a conflict detection task of multiple target tracking.
Human Factors: The Journal of Human Factors and Ergonomics Society, 56
, E. J. Bass, & D. W. Lee. (2014). Air traffic controllers’ visual scanning, aircraft selection, and comparison strategies in support of conflict detection. In
Proceedings of the 58
Annual meeting of the Human Factors and Ergonomics Society (
& S. J. Landry. (2010). Capturing and analyzing visual groupings of multiple moving targets in an aircraft conflict detection task using eye movements. In
Proceedings of the 54
Annual meeting of the Human Factors and Ergonomics Society