Coding and Visualizing Eye Tracking Data in Simulated Anesthesia Care

Abstract

Eye tracking can be a valuable tool for collecting data about perception and attention in task performance, but its use in human factors research has been limited. This may be due to the fact that the coding and visualization of eye tracking data can be difficult and time-consuming. In this paper we introduce a video-coding application for coding and analyzing eye tracking data. We discuss various methods for visualizing these data for the purposes of identifying patterns or trends that can then be more formally analyzed. We also present several visualization examples from the simulated anesthesia care environment.