T01: Eye Tracking: Gaze Applications & Analytics

Friday, 26 July 2019, 08:30 – 12:30
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Andrew Duchowski (short bio)

Clemson University, United States



The tutorial is based on two objectives: a survey of the field followed by a hands-on example of gaze analytics. The goals are for attendees to learn about classic eye-tracking research as well as current directions and open problems, and then to learn about basic and advanced eye movement analysis techniques.


Content and benefits:

As a brief introduction to eye tracking, the tutorial first aims to review potential applications, following a taxonomy split into four forms: diagnostic (off-line measurement), active (selection, look to shoot), passive (foveated rendering, a.k.a. gaze-contingent displays), and expressive (gaze synthesis). Subsequently, the tutorial then details a Python-based gaze analytics pipeline that consists of extraction of raw eye movement data, event detection via velocity-based filtering, collation for statistical evaluation, and analysis and visualization of results using R. The tutorial is couched in analysis of gaze data collected during discrimination of emotional expressions while viewing faces. The tutorial covers basic eye movement analytics, e.g., fixation count and dwell time within AOIs, and advanced analysis using gaze transition entropy, microsaccade detection, and the Index of Pupillary Activity.

Attendees will benefit from a broad survey of eye tracking research and they will gain experience from working with eye movement analysis software written by the instructor.


Target Audience:

The tutorial welcomes attendees at all levels of experience, from those beginning to study eye movements to those well practiced in the profession who may wish to consider adopting Python and R, possibly intending to expand on and improve the pipeline. Prior knowledge of Python and R, OpenGL, and OpenCV is a plus.

Bio Sketch of Presenter:

Dr. Duchowski is a professor of Computer Science at Clemson University. He received his baccalaureate (1990) from Simon Fraser University, Burnaby, Canada, and doctorate (1997) from Texas A&M University, College Station, TX, both in Computer Science. His research and teaching interests include visual attention and perception, computer vision, and computer graphics. He is a noted research leader in the field of eye tracking, having produced a corpus of related papers and a monograph on eye tracking methodology, and has delivered courses and seminars on the subject at international conferences. He maintains Clemson's eye tracking laboratory and teaches a regular course on eye tracking methodology attracting students from a variety of disciplines across campus.