Automatic Personalization of the Human Computer Interaction Using Temperaments

Héctor Gómez-Gauchía, Belén Díaz-Agudo, and Pedro A. González-Calero

In this paper we model a personalization system that 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.

Subjects: 3.1 Case-Based Reasoning

Submitted: Feb 14, 2006


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