Abstract

In addition to the virtual, there is a vast amount of data present in the real world. Given recent advances in computer vision, augmented reality, and cloud services, we are faced with a tremendous opportunity to augment the structured data around end-users with insights. Coinciding with these trends, the number of data-rich end-user activities is also rapidly increasing. Thus, it is useful to investigate the process of data exploration and analysis in augmented and mixed reality settings. In this paper, we describe ARQuery, a query platform that utilizes augmented reality to enable querying over real-world data. We provide an interaction and visualization grammar that is designed to augment realworld data, and a performant framework that enables query exploration in real-time. Our studies show that ARQuery provides a fluid, low-latency query experience for the enduser that is significantly faster than traditional approaches.