Bridging the Gap Between Didactical Requirements and Technological Challenges in Serious Game Design

Abstract

Game based training has gained a lively interest within the industry. We present a interdisciplinary work on the application of computer game principles and techniques within an automation industry training scenario. A data flow based component architecture forms the technical foundation of our system and enables us to exploit the capabilities of available middleware components like game- or physics engines. An interactive simulation of a real automation plant is built by the combination of state-based and physical object behavior. A model of training scenarios founded on the didactical principles of game based training is built upon our implemented system.