Abstract
As research into the use of games as a substitute for more expensive virtual reality trainers increases, the need for trainers to identify deficiencies in a user's basic ability with game operations becomes apparent. This work details the implementation of a toolkit that can be used to determine deficiencies a player might have during the operation of a first-person shooter style game. It achieves this by looking at a player's efficiency at performing tasks fundamental to a game-based trainer: maneuvering around an environment using a keyboard and their use of the mouse to look at and interact with a moving object. Based on the generated results, it can then be determined by a trainer what, if any, further work will be needed to address user deficiencies in order to make an actual training exercise more valuable.
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