Benchmarking User Performance by Using Virtual Reality for Task-Based Training
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2008/10/22
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Description:Conveyor belts have a high accident and fatality rate associated with them because of the dangerous environment their constantly moving parts create. Because of this high fatality rate, different methods are being considered to improve current safety training methods. By looking at the principles of cognitive learning and what makes a computer-based training program successful, a safety training program using virtual reality (VR) is being proposed. The training program structure includes four steps in creating a comprehensive two phase training program that will train personnel on the required operational processes in an instructional-based phase and then test their abilities through an interactive task-based session that tracks the user's progress and choices, tallies points based on corrective actions taken, and gives immediate feedback and consequences to the user's actions. This paper focus on the task-based phase of the prototype development and what steps are taken in creating an individual exercise. One example exercise is described in detail from choosing the material that is tested, implementing the animations and coding using Right Hemisphere's Deep Creator and LISP coding, implementing the tracking methods, and the output file that has been designed to keep track of the user's performance. [Description provided by NIOSH]
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Pages in Document:70-79
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NIOSHTIC Number:nn:20056344
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Citation:7th International Conference on Construction Applications of Virtual Reality (CONVR 2007), Oct. 22-23, University Park, Pennsylvania. University Park, PA: Penn State University, 2007 Oct; :70-79
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Email:jlucas06@vt.edu
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Federal Fiscal Year:2009
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Performing Organization:Virginia Polytechnic Institute and State University, Blacksburg
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Peer Reviewed:False
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Start Date:20050901
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Source Full Name:7th International Conference on Construction Applications of Virtual Reality (CONVR 2007), Oct. 22-23, University Park, Pennsylvania
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End Date:20081130
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Main Document Checksum:urn:sha-512:8c7d6a8ffaa68a91c2a99a8213ab22d1976f13a4e74e008624ae7a57dfa98cf5e5bbd462b89a490fa325280b0c22e057f6dd28f9b71dad02090d272a858f30c2
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