Automatic Personalization of the Human Computer Interaction Using Temperaments
Hector Gómez-Gauchía, Belén Díaz-Agudo, Pedro Antonio Gonzalez-Calero · 2006
In this paper we model a personalization system which takes into account the user interaction styles regarding a software artifact and the user temperament. We propose the use of Knowledge Intensive CBR where there are cases that represent specific variations of a given software artifact, and there are ontologies for the static knowledge. Our model is generic and reusable. In this paper we exemplify it with a system to personalize the Linux operating system environment.