title: Training cognitive skills in virtual reality: measuring performance.
abstract: Across a variety of operational environments, virtual reality (VR) is being increasingly used as a means of simulating hazardous work conditions in order to allow trainees to practice advanced cognitive skills such as problem-solving and decision-making. Replicating dangerous conditions particularly involving heavy machinery in the real world can be dangerous and costly. The use of VR is therefore appealing across many industries such as aviation, mining, and rail. However, while the number of training prototypes increase less focus is being given to appropriate evaluation of the training provided via this technology. Increasing skills acquisition and performance does not depend solely on the appropriate design of simulation training. Of equal importance are strong performance measures which can ultimately feedback on the success or otherwise of training and highlight any deficits to guide ongoing improvements. To ensure cognitive skills acquired in a virtual training environment (VTE) are transferable to the real world, training objectives need to be tied directly to realistic scenario events which in turn are directly linked to measures of specific required behaviors.
authors.affiliation: Perception & Motor Systems Laboratory, School of Human Movement Studies, University of Queensland, St. Lucia, Q 4072, Australia. jtichon@uq.edu.au
authors.forename: Jennifer
authors.initials: J
authors.lastname: Tichon
mesh_terms: D003198:Computer Simulation; D003194:Computer-Assisted Instruction; D003657:Decision Making; D030141:Feedback, Psychological; D006801:Humans; D007318:Inservice Training; D011214:Practice, Psychological; D011340:Problem Solving; D017751:Safety Management; D014163:Transfer, Psychology; D014584:User-Computer Interface