IA 2016 Workshop

Immersive Analytics lies at the intersection of the visualization disciplines in data science, hybrid reality, and 3D interfaces and interaction. It investigates how new interaction and display technologies can be used to support analytical reasoning and decision making. The essence of IA consists of deriving insights from data by using powerful visualization, display, and interaction techniques. These techniques augment the human ability to analyze and make sense of the heterogeneous, noisy, often massive and multifaceted datasets common in many scientific disciplines, such as biology, engineering, physics, chemistry, security, health informatics, and brain science.


Since “resolution beats memory”, increased screen resolution means that display technologies support the dual modalities of omni-stereo and mono display and can show both structured and unstructured data, breaking the traditional barriers between VR and tiled wall displays from the visualization side and blending augmented reality, virtual reality, and natural user interfaces from the user interface side. Some examples of such hybrid reality environments include CAVE2 at UIC, YURT at Brown, Reality Deck at SUNY, Augmentarium at University of Maryland, HIVE at Duke, the five-sided La Cueva Grande at LANL, AlloSphere at UCSB, GigaPixel Display Laboratory and Visionarium at Virginia Tech. We anticipate to see a growth of real-world uses of such high-resolution and immersive environments to improve scientists’ capabilities to generate new hypotheses and make new discoveries.