Knowledge-based zooming technique for the interactive visual analysis of mechatronic systems

The visual analysis of mechatronic systems requires a large set of visualization techniques in order to analyze the different kinds of generated data. When the analysis is carried out online, the user needs the aid of automatic techniques that shift his/her attention to important incidents, e.g. an occurred error. In this paper we present a knowledge-based zooming technique for virtual environments. This technique incorporates a level-of-detail technique and a knowledge-based visualization selection. The user can interactively change the level of information, thereby, a knowledge-based technique selects the significant incidents and notifies the user. Our application demonstrates the feasibility of this technique.