Assessing Laparoscopic Surgical Skills of Trainees with Scene Independent and Dependent Eye Gaze Metrics

Abstract

Eye metrics have been used to objectively evaluate proficiency levels in psychomotor tasks, including aviation, driving, sports, and surgery. Despite extensive research devoted to developing and utilizing eye metrics, the literature does not contain any explicit comparison between scene independent and dependent eye metrics for understanding skill acquisition or characterizing expertise. This study collected eye tracking data from medical students practicing the peg transfer task and computed both scene independent and dependent eye metrics to indicate proficiency. K-means clustering analysis on the eye metrics yielded three clusters corresponding to three proficiency levels which showed significantly different trial completion time. The box plots of the eye-gaze metrics illustrated different patterns of scene independent and dependent eye metrics with respect to proficiency levels, highlighting the need for further examination of these metrics for accurate and useful applications.