Our Vision

Immersive Intelligence is a collaborative data-driven decision process for understanding complex systems using immersive spaces. Immersive spaces are virtual environments whose objects are created from and sync with a rich dynamic database, allowing persons to experience immersion within a data world ranging from the natural and familiar to the abstract and unusual.

Imagine a canvas consisting of kilometers of three-dimensional space, containing thousand to millions of data objects, supporting tens to thousands of persons, scaling from very small (nanometers) to very large (light-years), observing the very quick (nanoseconds) to very slow (centuries), from the very infrequent (Black-Swan events) to the very frequent (heartbeats). This is not possible in the physical world, but it is becoming possible with virtual world technology.

This is a ‘vision’ piece for Immersive Intelligence. Please post a comment below.  This vision will go through revisions as we incorporate ideas from you and other colleagues.

Here is a narrated slide show (7:10) on an overview of this vision.

Defining Immersive Intelligence

Immersive Intelligence is a collaborative fact-based decision process for understanding complex systems using immersive spaces. Immersive spaces are virtual environments whose objects are created from and sync with a rich dynamic database, allowing persons to experience immersion within a data world ranging from the natural and familiar to the abstract and unusual. Stated differently, the objective of Immersive Intelligence is to understand and manage complex systems with advanced data visualization and collaborative decision making, the result of which is finding and executing solutions to hard problems.

Thinking Big

Imagine a canvas consisting of kilometers of 3D space, containing thousand to millions of data objects, supporting tens to thousands of persons, scaling from very small (nanometers) to very large (light-years), observing the very quick (nanoseconds) to very slow (centuries), from the very infrequent (Black-Swan events) to the very frequent (heartbeats). This is not possible in the physical world, but it is becoming possible with virtual world technology.

Facing the Problem

The problem will be to design the mapping from data model/content of a large enterprise data warehouse to fully textured 3D objects with dynamic behaviors, allowing persons to perform complex analytics via interactions with the data objects. For instance, what are the 20 ways of expressing visually the parent-child relationship? And, how should a tree of What-If cases be expressed visually? Besides the typical business situations, this approach could be applicable in scientific and governmental contexts. Further, it may be useful for engaging masses to pool their collective wisdom and enthusiasm for societal-level problems, such as climate change.