The AlloSphere is a three-story facility where we use multiple modalities to represent large and complex data, including immersive visualization, sonification, and interactivity. We are creating technology that will enable experts to use their intuition and experience to examine and interact with complex data to identify patterns, suggest and test theories in an integrated loop of discovery. Important research areas include quantum information processing and structural materials discovery, bioengineering and biogenerative applications, and arts and entertainment. These content areas also drive media systems research in immersive display, computation, and interactivity.
The AlloSphere is a one-of-a-kind immersive instrument. Twenty-six projectors light up a three-story sphere, while fifty-five speakers surround you with sound. As you and your colleagues stand on the bridge of the AlloSphere, you will be immersed in scientific simulations, data visualizations, and artistic content.
Our facility is differentiated from other virtual reality environments by both its seamless surround-view capabilities and its ability to accommodate large groups of researchers concurrently. Building the AlloSphere was not an off-the-shelf enterprise. Designing a large-scale environment to deliver rich, coherent, interactive, high-resolution 3D video and audio streams from massive scientific datasets is a complex computational and systems engineering task that continues to involve faculty across a variety of disciplines.
Members of the AlloSphere Research Group are computer scientists, artists, engineers, musicians, and hybrids who do a little bit of everything. The message from the director Dr. JoAnn Kuchera-Morin, chief designer of the facility, composer, and media artist with over thirty years of experience in media systems engineering, outlines the vision for our research. Members of the AlloSphere Research Group are affiliated with he Media Arts & Technology graduate program at University of California, Santa Barbara.
As media artists we know that correctly representing complex models and data leads also to increased artistic sophistication. the work we present is only as good as the content it is derived from. If you are a researcher facing challenges in representing your data, please contact us. We would like to help you look for new patterns in your data and speed time to discovery.