SUI 2019 Publication - Gaze Direction Visualization

Examples of Gaze Direction Visualizations

The 3DI Group would like to congratulate Yuan Li and Feiyu Lu for publishing their work on Gaze Direction Visualization techniques for Collaborative AR at SUI 2019. Their publication is entitled "Gaze Direction Visualization Techniques for Collaborative Wid-Area Model-Free Augmented Reality," and was overseen by Dr. Douglas Bowman and 3DI Group alumnus Dr. Wallace Lages.

In collaborative tasks, it is often important for users to understand their collaborator's gaze direction or gaze target. Using an augmented reality (AR) display, a ray representing the collaborator's gaze can be used to convey such information. In wide-area AR, however, a simplistic virtual ray may be ambiguous at large distances, due to the lack of occlusion cues when a model of the environment is unavailable. They describe two novel visualization techniques designed to improve gaze ray effectiveness by facilitating visual matching between rays and targets (Double Ray technique), and by providing spatial cues to help users understand ray orientation (Parallel Bars technique). In a controlled experiment performed in a simulated AR environment, they evaluated these gaze ray techniques on target identification tasks with varying levels of difficulty. The experiment found that, assuming reliable tracking and an accurate collaborator, the Double Ray technique is highly effective at reducing visual ambiguity, but that users found it difficult to use the spatial information provided by the Parallel Bars technique. They then discuss the implications of these findings for the design of collaborative mobile AR systems for use in large outdoor areas.

Yuan Li will present this work in New Orleans, USA at SUI 2019 (October 19-20, 2019).