{"id":1200,"date":"2012-09-17T10:08:00","date_gmt":"2012-09-17T10:08:00","guid":{"rendered":"http:\/\/dev.leonardopavanatto.com\/3di\/?p=1200"},"modified":"2021-03-10T21:40:35","modified_gmt":"2021-03-11T02:40:35","slug":"evaluating-immersive-military-training-system","status":"publish","type":"post","link":"https:\/\/wordpress.cs.vt.edu\/3digroup\/2012\/09\/17\/evaluating-immersive-military-training-system\/","title":{"rendered":"Evaluating Immersive Military Training System"},"content":{"rendered":"\n
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Military training has been one of the most successful applications of mixed reality (MR) technologies. MR systems (including virtual reality (VR) and augmented reality (AR) provide a realistic first-person view of a synthetic world or an augmented real world environment, and allow trainees to interact directly with that world, making them useful for training motor skills, decision-making, and navigation. However, there are a wide range of MR technologies, and very little is known about which technologies provide the most benefit for various military training scenarios. In order to achieve the best return on investment, the Navy needs empirical data on the effectiveness of VR technologies.<\/p>\n\n\n\n

To address this gap in our knowledge, empirical studies are needed. However, the fact that MR technologies are diverse and constantly changing limit our ability to perform studies with generalizable results. In our project, we address this limitation with two major contributions. First, we propose a general framework around the concept of immersion, or display fidelity, for characterizing and understanding MR displays. Second, we contribute an evaluation method called MR simulation, in which existing displays, non-existent displays, and even the real world can be simulated within a high-fidelity VR system.<\/p>\n\n\n\n

Together, these two contributions allow us to conduct controlled experiments examining the influence of display fidelity on the effectiveness of training systems, and to extract general findings from these experiments that can be applied to the design of new systems. In practical terms, our contributions enable the generation of guidelines for choosing the best display hardware for new training systems and for performing cost\/benefit analysis of proposed new display technologies.<\/p>\n\n\n\n

Our activities to date have focused on task\/domain analysis, MR simulator software, validation studies, and controlled studies in MR simulators.

Task\/Domain Analysis<\/em><\/strong><\/p>\n\n\n\n