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A Simple Model for Human-Robot Emotional Interaction

  • Isabella Cattinelli
  • N. Alberto Borghese
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4693)

Abstract

This paper describes a model of human-robot interaction. It computes the robot’s simulated emotional state as a result of the emotional input received from the user and the robot’s internal emotion dynamics. The latter is determined by the key elements of personality and attitude. The proposed model is a probabilistic finite state automaton, where the probabilistic transition function is called personality and is modified during the interaction according to the history of the interaction itself. The criterion which drives this personality change is called attitude. Such a model may be used in affective computing applications in order to design emotional agents and robots.

Keywords

Affective Computing Probabilistic Finite State automata Human-Robot Interaction 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Isabella Cattinelli
    • 1
  • N. Alberto Borghese
    • 1
  1. 1.Dept. Computer Science, Università degli Studi di Milano, Via Comelico 39/41, 20135 MilanItaly

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