Who do you look like? - Gaze-based authentication for workers in VR

Karina LaRubbio, Jeremiah Wright, Brendan David-John, Andreas Enqvist, Eakta Jain

Abstract: Behavior-based authentication methods are actively being developed for XR. In particular, gaze-based methods promise continuous au-thentication of remote users. However, gaze behavior depends on the task being performed. Identification rate is typically highest when comparing data from the same task. In this study, we compared authentication performance using VR gaze data during random dot viewing, 360-degree image viewing, and a nuclear training simu-lation. We found that within-task authentication performed best for image viewing (72%). The implication for practitioners is to integrate image viewing into a VR workflow to collect gaze data that is viable for authentication.