| Περίληψη: | Nowadays Virtual Reality greatly assists in the testing of products and processes that do not yet exist or exist in a preliminary state. Actual products can be replicated in high detail inside the Virtual Environment and can provide important conclusions about the real-world products. This way adjustments and corrections can be applied far before production, and thus flaws can be removed early in (or before) the production process. As VR systems are becoming a very important part of product design, and are used in modular systems, they have to be able to cooperate with Semantic Modules in order to store data and make it available to the rest of the modules of the general System. The integration of Semantics adds the Knowledge Management component to a system and makes it reusable and flexible.
There have been many different approaches in combining VR environments with Semantic Knowledge-Management systems. Some focus on combined systems with heavy-load server applications and lightweight clients while others focus on agent-based distributed systems. Our development aims to produce a system which consists of separate modules that depend on close interaction. These modules are: an immersive VR Environment and a Semantic repository (Ontology) which holds the information about all the interactions that occur in the VE. This study’s perspective, is to identify, model and analyse the cockpit elements and procedures and provide a re-usable repository in order to capture and distribute the knowledge that is currently secluded into individual developments. On the procedure side, the method includes a basic Human Factors method, namely the Hierarchical Task Analysis (HTA) for modelling. It offers a useful tool in a domain that up to present depends on manual pen-and-paper methods applied by individual experts, which limit the knowledge distribution between the individuals that apply the studies, since there is no plan for storing and distributing it effectively. This study proposes the introduction on Virtual Reality, automation and Semantics in order to produce a semi-automated, modular environment that will enhance productivity of individuals across all the mentioned domains during the early phases of development.
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