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Immersive environments have gradually become standard for visualizing andanalyzing large or complex datasets that would otherwise be cumbersome, if notimpossible, to explore through smaller scale computing devices. However, thistype of workspace often proves to possess limitations in terms of interaction,flexibility, cost and scalability.  In this paper we introduce a novel immersive environment called Dataspace,which features a new combination of heterogeneous technologies and methods ofinteraction towards creating a better team workspace. Dataspace provides 15high-resolution displays that can be dynamically reconfigured in space throughrobotic arms, a central table where information can be projected, and a uniqueintegration with augmented reality (AR) and virtual reality (VR) headsets andother mobile devices. In particular, we contribute novel interactionmethodologies to couple the physical environment with AR and VR technologies,enabling visualization of complex types of data and mitigating the scalabilityissues of existing immersive environments.  We demonstrate through four use cases how this environment can be effectivelyused across different domains and reconfigured based on user requirements.  Finally, we compare Dataspace with existing technologies, summarizing thetrade-offs that should be considered when attempting to build bettercollaborative workspaces for the future.

Dataspace: A Reconfigurable Hybrid Reality Environment for Collaborative Information Analysis