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Joanna Coltrin

Utah State University



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67 – Section on Statistical Computing: Data Science

Defining Areas of Interest for Eye-Tracking Data: Implementing a Systematic Approach

Sponsor: Section on Statistical Computing
Keywords: USU Posture Study, Voronoi Tessellation Method, data visualization

Joanna Coltrin

Utah State University

There exists a variety of methods that have been used to analyze eye-tracking data. One of the general methods involves the use of Areas of Interest (AOIs). AOIs are predefined areas of an image used to determine characteristics of eye-tracking data. While most AOIs are defined by hand, we discuss the use of systematic AOIs and the application of the systematic Voronoi Tessellation Method. Differentiated eye-tracking data can then be compared within the AOIs to determine whether subjects from a treatment group looked at the images differently than subjects from a control group and where those differences occurred.

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