How to Gain Emotional Rewards during Human-Robot Interaction Using Music? Formulation and Propositions

  • Thi-Hai-Ha Dang
  • Guillaume Hutzler
  • Philippe Hoppenot
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6114)


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.


Emotional Intelligence Robotic Application Logic Adaptive Musical Event Cognitive Interpretation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. 1.
    Darwin, C.: The expression of the emotion in man and animals. Murray, London (1872); Reprinted: University of Chicago Press, Chicago (1965)CrossRefGoogle Scholar
  2. 2.
    Gebhardt, S., von Georgi, R.: Music, mental disorder and emotional reception behavior. Music Therapy Today VIII(3) (2007)Google Scholar
  3. 3.
    Scherer, K.R.: Emotion, the psychological structure. In: Smelser, N.J., Baltes, P.B. (eds.) International Encyclopedia of the Social and behavioral Sciences. Pergamon, Oxford (2001)Google Scholar
  4. 4.
    Zentner, M., Grandjean, D., Scherer, K.R.: Emotions Evoked by the Sound of Music: Differentiation, Classification and Measurement. Emotion 8(4), 494–521 (2008)CrossRefGoogle Scholar
  5. 5.
    Scherer, K.R.: Which emotions can be induced by music? What are the underlying mechanisms? And how can we measure them? Journal of New Music Research 33(3), 239–251 (2004)CrossRefMathSciNetGoogle Scholar
  6. 6.
    Scherer, K.R.: On the nature and function of emotion: A component process approach. In: Scherer, K.R., Ekman, P. (eds.) Approaches to emotion, pp. 293–317. Erlbaum, Hillsdale (1984)Google Scholar
  7. 7.
    Lazarus, R.S.: Emotion and Adaptation. Oxford University Press, Oxford (1991)Google Scholar
  8. 8.
    Ortony, A., Clore, G.L., Collins, L.: The cognitive structure of emotions. Cambridge University Press, Cambridge (1988)Google Scholar
  9. 9.
    Myers, I.B.: Gifts Differing: Understanding Personality Type. Davies-Black Publishing (May 1, 1995); ISBN 0-89106-074-X (1980)Google Scholar
  10. 10.
    Special Issue of Human-Computer Interaction, vol. 19(1-2) (2004)Google Scholar
  11. 11.
    El-Nasr, M., Yen, J., Ioerger, T.: FLAME - A Fuzzy Logic Adaptive Model of Emotions. Journal of Automous Agents and Multi-agent Systems 3, 219–257 (2000)CrossRefGoogle Scholar
  12. 12.
    Bui, T., Heylen, D., Poel, M., Nijholt, A.: ParleE: An Adaptive Plan Based Event Appraisal Model of Emotions. In: Jarke, M., Koehler, J., Lakemeyer, G. (eds.) KI 2002. LNCS (LNAI), vol. 2479, pp. 129–143. Springer, Heidelberg (2002)CrossRefGoogle Scholar
  13. 13.
    Rousseau, D.: Personality in Computer Characters. In: Proceedings of the 1996 AAAI Workshop on Entertainment and AI / A-Life, pp. 38–43. AAAI Press, Portland (1996)Google Scholar
  14. 14.
    Breazeal, C.: Emotion and sociable humanoid robots. Hudlika, E. (ed.) International Journal of Human-Computer Studies 59, 119–155 (2003)Google Scholar
  15. 15.
    Project MDS: Personal Robots Group, MIT Media Lab,
  16. 16.
    Official site for Mental Commitment Robot (PARO),
  17. 17.
    de Rosis, F., Pelachaud, C., Poggi, I., Carofiglio, V., De Carolis, N.: From Gretas Mind to her Face: modelling the Dynamics of Affective States in a Conversational Embodied Agent. The International Journal of Human-Computer Studies 59(1-2) (2003)Google Scholar
  18. 18.
    Gratch, J., Marsella, S.: The Architectural Role of Emotion in Cognitive Systems. In: Gray, W. (ed.) Integrated Models of Cognitive Systems. Oxford University Press, Oxford (2008)Google Scholar
  19. 19.
    Adam, C.: Emotions: from psychological theories to logical formalization and implementation in a BDI agent. PhD Thesis (2007)Google Scholar
  20. 20.
    Forlizzi, J., DiSalvo, C., Gemperle, F.: Assistive robotics and an ecology of elders living independently in their homes. Hum.-Comput. Interact. 19, 1 (2004)CrossRefGoogle Scholar
  21. 21.
    Dang, T., Letellier-Zarshenas, S., Duhaut, D.: Comparison of recent architectures of emotions. In: 10th International Conference on Control, Automation, Robotics and Vision, ICARCV 2008, Vietnam (2008)Google Scholar
  22. 22.
    Dang, T., Duhaut, D.: Experimentation with GRACE, the Generic Model of Emotions For Computational Applications. In: 2nd Mediterranean Conference on Intelligent Systems and Automation, Tunisia (Best paper award) (2009)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Thi-Hai-Ha Dang
    • 1
  • Guillaume Hutzler
    • 1
  • Philippe Hoppenot
    • 1
  1. 1.Laboratory IBISCUniversity of Evry Val d’Essonne, Boulevard Francois MitterrandEvryFrance

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