User-model based design of adaptive human-computer interfaces

This paper presents one approach to user modeling, which can be efficiently implemented for industrial control applications. The focus is made on the analysis and evaluation of quasi-static individual user characteristics, particularly personal cognitive styles ofusers for initial and/or periodical adjusting interfaces to the individual users. The following individual cognitive factors: brain hemisphere asymmetry and deductive vs. inductive strategies, are taken into consideration. The appropriate Interface Model corresponding to the main parameters of the User Model is proposed. It includes such substantial features of interface design as layout, navigation, dynamics, help monitoring organization, etc. Game process control facilities for identification of correspondent User and Interface Models are presented and evaluated within a pilot study.