UDC 004.4
Authors
L. F. Tagirova
Candidate of Pedagogical Sciences, Associate Professor of Department of Computing Software
and Automated Systems, Orenburg State University, Orenburg, Russia
Abstract
More recently, the problem of personalizing applications to users has gained increasing attention in the area of programming, which in turn poses a number of requirements for interface development. In particular, the use of adaptive interfaces is proposed. This is achieved by taking into account the wishes and preferences of users to the structure, appearance and functionality of the interface when developing the interface. In order to solve the problem of interface selection, the article proposes the development of an automated system for adaptation of user interfaces to the requirements of users. As a selection mechanism in the annex, the Bayes method is used, which allows to determine the probability of occurrence of an event in conditions when only some partial information about events is known on the basis of observations. Operation of automated system is based on fuzzy expert system of selection of optimal user interface. The knowledge base of the expert system displays questions for interviewing users, their posteriori probabilities of onset and nononset. This expert system allows you to select the appropriate interface based on your requirements and wishes. As a result of the operation of the automated system, an adapted application interface will be provided, taking into account the wishes of the specialist performing her professional activities.
Keywords
User interface, Automated system, Prototype selection, Artificial intelligence, Bayes method
