Resumo

GAVIRIA GIRALDO, Julián  e  JIMENEZ BUILES, Jovani Alberto. Adaptive User Profiling Scheme Using Brain Imaging. Rev. Lasallista Investig. [online]. 2013, vol.10, n.2, pp.77-83. ISSN 1794-4449.

Abstract Introduction. This article shows how computer science and cognitive neuroscience can be merged to propose an effective profiling scheme. In the area of user profiling this paper will provide the paths and trends that researches has already gone through, and how some issues are being overpassed. In other words, this work will solve effectively one issue: content personalization through the identification of an individual's learning behavior. Objective. This work will demonstrate characterizing someone's brain responses to a specific action is possible. As this research topic has to deal with different fields and there are not previous researches that conveys both. The core idea is to provide enough elements to form the foundations in both areas and propose a scheme to do so. Materials and methods. This section summarizes basic elements of interaction between learners and computers that allows us to integrate them. It will show how some responses named cognitive neuroscience variables are a good source of information for user profiling and will illustrate how this researched field especially used in neuroscience can be effectively used for this purpose. In other words, this paper is going to show the reader how some reactions to exposed actions can be tracked and characterized. Results. It discusses some issues to take into account for developing the proposed profiling scheme and shows how human brain responses can be used to acquire the necessary information to feed an intelligent profiling system. These assumptions allow researchers to account different phenomena and use them for different purposes like the one being developed in this work: Learner Profiling. Conclusiones. Algunas ventajas y desafíos del Perfilamiento de Aprendices se enumeran y se invita a los investigadores a aplicar esta tecnología en otros campos y a ampliar esta aplicación, especialmente en el contexto enseñanza-aprendizaje.

Palavras-chave : imaging; learning; user profiling; personalization; neuroimaging; tutoring system.

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