Filling the Gaps : Imputing Missing Gaze Data Using Cluster Means
Data Challenges in Gaze Analysis When analyzing gaze data, missing values are a common obstacle. In my recent project, I worked with a dataset containing 99 target points, each associated with 1000 gaze points[1], collected during an eye-tracking study. To handle missing gaze points, I applied cluster mean imputation within the gaze points of each […]
Unlocking Insights: Gaze Data Analysis with k-NN
Introduction: The story behind the data Have you ever wondered how we can understand where people are looking? In my recent project, I explored gaze data from an eye-tracking study designed using a Random Saccade Task (RAN). This experiment tracked participants’ eye movements following a randomly displaced bull’s eye target across a monitor. The goal? […]