Evaluating Eye-Tracking Multimodal Interactions in Virtual Reality

Abstract

Virtual reality (VR) has gained significant traction as a tool for both education and gaming in recent years. This research explores the accuracy and effectiveness of eye tracking as an object interaction method in VR. Specifically, this thesis presents the development of an interactive virtual environment designed to compare the interaction time, accuracy, and task load associated with eye tracking, distance-based hand tracking, and close-up grabbing during interactions with 3D objects. A user study was conducted to compare the three interaction methods. The findings provide evidence that eye-tracking multimodal interactions outperforms both hand tracking methods across multiple metrics.