User-Adaptive Computer Graphics

Computer graphics presentations should be modified to the user's needs and on-the-spot applications. This adjustment is provided by computer graphics systems that use artificial intelligence methodogy for an automatic selection of the presenta-tion format for a data set, a format attuned to individual users. These systems can learn about general principles of graphic presentation, application constraints, users' preferences and knowledge and incorporate them into display algorithms. Adaptive Graphics Analyser, the system presented in this paper, uses machine learning techniques for discovering standards of effective visual representation of data and incorporates them into a user-adaptive graphics package. Utilizing these standards the system can generate, change and refine images interactively according to the user's requirements.