Thi-Hai-Ha Dang

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In this paper, we present arguments for the need of emotion modelling and we define elements for a study in Human-Robot Interaction (HRI) using music. We also propose an adaptation of our generic model of emotions (GRACE) to give a precise idea of how to design emotional intelligence for a robot with music-related abilities.
In this paper, we present a model of emotions that we proposed in EmotiRob project. First of all, we make a comparison of recent models of emotions and show that our model is generic in basing on the theories of emotions of Ortony et al., of Lazarus, of Scherer and then the personality theory of Meyers-Brigg and Meyers. Then, we present our experimentation(More)
In this paper we present a generic computational model to include emotion and personality in the behaviour of a robot. This model is based on a comparison of recent computational models of emotions and classical hybrid architecture for robot computation; it is also merged with psychological works on emotion and personality.
In HRI, many researches emphasize the impact of the human user’s personality (expressed mainly through the Extroversion dimension) over the perception of the robot’s behavior. In our experiment, where participants interacted/used a novel driving assistance system, we focused on analyzing the role of each BigFive Personality dimension in people’s task(More)
Existing computational models of emotions, although based on different psychological theories, share common properties and may be seen as the different facets of a common emotional process. We thus present our model GRACE - aiming at unifying existing models into a single architecture while preserving the peculiarities of each of them. We also demonstrate(More)
Driver’s cognitive load has always been associated with the driver’s heart rate activity and his/her skin conductance activity. However, what aspects of cognitive load that these signals relate to have never been clearly studied. This paper presents our preliminary results about the relationship between the different physiological signals (heart rate and(More)
A good adjustable control system is a system that can adapt its behaviors according to the user’s state over time. While most researches in Human-Robot Cooperation focus on making the robotic system more efficient and effective in task accomplishment, we argue that very few works tried to model the human operator. In this paper, we discuss several aspects(More)