The paper presents a framework for interface adaptation to style of user-computer interaction by implicit retrieval of apriori defined independent measures of graphical, verbal, procedural and dynamic cognitive characteristics. A neural network is proposed that samples and classifies patterns of style representing data into sets of paired relations among scores for further distinct support. The approach is currently being implemented into a database system for a community mental health center.