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Traditional user interface evaluation usually is conducted in a laboratory where users are observed directly by evaluators. However, the remote and distributed location of users on the network precludes the opportunity for direct observation in usability testing. Further, the network itself and the remote work setting have become intrinsic parts of usage(More)
We present DIVERSE, a highly modular collection of complimentary software packages designed to facilitate the creation of device independent virtual environments. DIVERSE is free/open source software, containing both end-user programs and C++ APIs (Application Programming Interfaces). DgiPf is the DIVERSE graphics interface to OpenGL Performer™. A program(More)
This paper describes a set of tools for performing measurements of objects in a virtual reality based immersive visualization environment. These tools enable the use of the immersive environment as an instrument for extracting quantitative information from data representations that hitherto had be used solely for qualitative examination. We provide, within(More)
We describe a method for calibrating an electromagnetic motion tracking device. Algorithms for correcting both location and orientation data are presented. In particular we use a method for interpolating rotation corrections that has not previously been used in this context. This method, unlike previous methods, is rooted in the geometry of the space of(More)
We present DIVERSE (Device Independent Virtual Environments-Reconfigurable, Scalable, Extensible), which is a modular collection of complimentary software packages that we have developed to facilitate the creation of distributed operator-in-the-loop simulations. In DIVERSE we introduce a novel implementation of remote shared memory (distributed shared(More)
We describe three classes of tools to turn visualizations into a visual laboratory to interactively measure and analyze scientific data. We move the normal activities that scientists perform to understand their data into the visualization environment, which becomes our virtual laboratory, combining the qualitative with the quantitative. We use(More)
This is the third in a series of articles that describe, through examples, how the Scientific Applications and Visualization Group (SAVG) at NIST has utilized high performance parallel computing, visualization, and machine learning to accelerate scientific discovery. In this article we focus on the use of high performance computing and visualization for(More)
The advent of high performance computers (HPC) has allowed materials researchers to model large three-dimensional (3D) nano-structures. These 3D nano-structures and their associated macro-properties can be sufficiently complex such that researchers can benefit from immersive virtual environments (VEs) in their analysis and interpretation of HPC model(More)