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Mathematical Modeling of Human Affective Behavior Aimed to Design Robot EI-Controller

Chapter
Part of the Mechanisms and Machine Science book series (Mechan. Machine Science, volume 20)

Abstract

The chapter regards to building emotion-driven behavior and social development in robots based on theory of personality from personality psychology. More precisely, the chapter concerns with modeling attributes of human emotional intelligence with aim to develop robot EI-controller capable to manage and use emotions, mange relationship with others and increase the autonomy. Brief theoretical background of personality psychology, regarding categorization of human personality types and types of temperament are presented in the chapter, too. Besides, it will be analyzed how differences amongst personality traits determine human affective and social behavior in circumstances of different physical and social environmental conditions. Based on the theory from psychology, a generic model of human emotion-driven behavior as an element of emotional intelligence is proposed. Corresponding simulator is developed in the chapter, too. Designed EI-model is tested in simulation experiments. For this purpose, a “trigger” (an emotion-causal event) is assumed. Different personality profiles, exterior and interior influencing factors are varied in simulation tests. Proposed model is validated by comparison of the simulation results and results obtained experimentally by using results of the tests of human examinees. The on-line psychological questionnaires available at the Internet were used as appropriate tests.

Keywords

Affective computing Behavioral robotics Sociable robotics Artificial intelligence Emotional intelligence Emotion-driven behavior 

Notes

Acknowledgments

The research in the chapter is funded by the Serbian Ministry of Science under the grants TR-35003 and III-44008. It is partially supported by the SNSF IP project IZ74Z0_137361/1 as well by the Serbia-Portugal “COLBAR” research project under the grant 451-03-02338/2012-14/12. The authors express thanks to the scientists from the Department of Experimental Psychology, Faculty of Human Sciences, University of Belgrade for the useful suggestions.

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.Institute Mihailo PupinBelgradeSerbia
  2. 2.PIMENTUniversity of La RéunionSaint-DenisFrance

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