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27 April 2018 Collaborative mixed reality (MxR) and networked decision making
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Collaborative decision-making remains a significant research challenge that is made even more complicated in real-time or tactical problem-contexts. Advances in technology have dramatically assisted the ability for computers and networks to improve the decision-making process (i.e. intelligence, design, and choice). In the intelligence phase of decision making, mixed reality (MxR) has shown a great deal of promise through implementations of simulation and training. However little research has focused on an implementation of MxR to support the entire scope of the decision cycle, let alone collaboratively and in a tactical context. This paper presents a description of the design and initial implementation for the Defense Integrated Collaborative Environment (DICE), an experimental framework for supporting theoretical and empirical research on MxR for tactical decision-making support.
Conference Presentation
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Theron T. Trout, Stephen Russell, Andre Harrison, Mark Dennison Jr., Ryan Spicer, Evan Suma Rosenberg, and Jerald Thomas "Collaborative mixed reality (MxR) and networked decision making", Proc. SPIE 10653, Next-Generation Analyst VI, 106530N (27 April 2018);


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