Julieta Noguez

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The main purpose of this work is to develop an intelligent tutor system coupled to a robotics virtual laboratory, in order to offer a tutored virtual learning environment. The student model is the main component of this intelligent tutoring systems (ITS). We propose a probabilistic relational model to characterize the students, so the domain can be(More)
In this paper we address the problem of explaining the recommendations generated by a Markov decision process (MDP). We propose an automatic explanation generation mechanism that is composed by two main stages. In the first stage, the most relevant variable given the current state is obtained, based on a factored representation of the MDP. The relevant(More)
An important requirement for intelligent assistants is to have an explanation generation mechanism, so that the trainee has a better understanding of the recommended actions and can generalize them to similar situations. In this work we combine different knowledge sources to generate explanations for operator training. The explanations are based on a(More)
One of the most important highlights of personal tutoring is that of recognizing the student's affective state and reacting accordingly by expressing the pedagogical movements in an affectively suitable way. In this paper, we propose a model for an affective tutor. The intelligent tutor integrates an affective student model based on the OCC cognitive model(More)
Medical procedures often involve the use of the tactile sense to manipulate organs or tissues by using special tools. Doctors require extensive preparation in order to perform them successfully; for example, research shows that a minimum of 750 operations are needed to acquire sufficient experience to perform medical procedures correctly. Haptic devices(More)