Adaptive User Profiling Scheme Using Brain Imaging

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2013

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Revista Lasallista de Investigación



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Julián Gaviria Giraldo et al., « Adaptive User Profiling Scheme Using Brain Imaging », Revista Lasallista de Investigación, ID : 10670/1.u95iee


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"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: con- tent 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 sum- marizes basic elements of interaction between lear- ners and computers that allows us to integrate them. It will show how some responses named cognitive neuroscience variables are a good source of infor- mation 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 profi- ling scheme and shows how human brain responses can be used to acquire the necessary information to feed an intelligent profiling system. These assump- tions allow researchers to account different pheno- mena and use them for different purposes like the one being developed in this work: Learner Profiling. Conclusiones. Algunas ventajas y desafíos del Per- filamiento 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."

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