StARe: Gaze-Assisted Face-to-Face Communication in Augmented Reality

This research explores the use of eye-tracking during Augmented Reality (AR) - supported conversations. In this scenario, users can obtain information that supports the conversation, without augmentations distracting the actual conversation.We propose using gaze that allows users to gradually reveal information on demand. Information is indicated around user’s head, which becomes fully visible when other’s visual attention explicitly falls upon the area. We describe the design of such an AR UI and present an evaluation of the feasibility of the concept. Results show that despite gaze inaccuracies, users were positive about augmenting their conversations with contextual information and gaze interactivity. We provide insights into the trade-offs between focusing on the task at hand (i.e., the conversation), and consuming AR information. These findings are useful for future use cases of eye based AR interactions by contributing to a better understanding of the intricate balance between informative AR and information overload.