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A Reactive Competitive Emotion Selection System

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Part of the Lecture Notes in Computer Science book series (LNAI,volume 9388)

Abstract

We present a reactive emotion selection system designed to be used in a robot that needs to respond autonomously to relevant events. A variety of emotion selection models based on “cognitive appraisal” theories exist, but the complexity of the concepts used by most of these models limits their use in robotics. Robots have physical constrains that condition their understanding of the world and limit their capacity to built the complex concepts needed for such models. The system presented in this paper was conceived to respond to “disturbances” detected in the environment through a stream of images, and use this low-level information to update emotion intensities. They are increased when specific patterns, based on Tomkins’ affect theory, are detected or reduced when it is not. This system could also be used as part of (or as first step in the incremental design of) a more cognitively complex emotional system for autonomous robots.

Keywords

  • Social robotics
  • Human Robot Interaction
  • Emotional models
  • Emotion production

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References

  1. Angel F., J.M., Bonarini, A.: Towards an autonomous theatrical robot. In: ACII 2013, pp. 689–694 (2013)

    Google Scholar 

  2. Angel Fernandez, J.M., Bonarini, A.: TheatreBot: a software architecture for a theatrical robot. In: Natraj, A., Cameron, S., Melhuish, C., Witkowski, M. (eds.) TAROS 2013. LNCS, vol. 8069, pp. 446–457. Springer, Heidelberg (2014)

    Google Scholar 

  3. Breazeal, C.: Affective interaction between humans and robots. In: Sosík, P., Kelemen, J. (eds.) ECAL 2001. LNCS (LNAI), vol. 2159, pp. 582–591. Springer, Heidelberg (2001)

    CrossRef  Google Scholar 

  4. Breazeal, C.: Designing Sociable Robots. MIT Press, Cambridge (2002)

    MATH  Google Scholar 

  5. Canamero, L., Fredslund, J.: I show you how I like you-can you read it in my face? IEEE Transactions on Systems, Man and Cybernetics, Part A 31(5) (2001)

    Google Scholar 

  6. Caamero, L.: Emotion understanding from the perspective of autonomous robots research. Neural Networks 18(4), 445–455 (2005). emotion and Brain

    CrossRef  Google Scholar 

  7. Dias, J., Mascarenhas, S., Paiva, A.: FAtiMA modular: towards an agent architecture with a generic appraisal framework. In: Bosse, T., Broekens, J., Dias, J., van der Zwaan, J. (eds.) Emotion Modeling. LNCS, vol. 8750, pp. 43–55. Springer, Heidelberg (2014)

    Google Scholar 

  8. Ekman, P.: Emotions Revealed : Recognizing Faces and Feelings to Improve Communication and Emotional Life. Owl Books, March 2004

    Google Scholar 

  9. Esau, N., Kleinjohann, L., Kleinjohann, B.: Emotional communication with the robot head MEXI. In: Proceedings of Ninth International Conference on Control, Automation, Robotics and Vision, ICARCV 2006, Singapore, December 5–8, 2006, pp. 1–7 (2006)

    Google Scholar 

  10. Gratch, J., Marsella, S.: A domain-independent framework for modeling emotion. Journal of Cognitive Systems Research 5, 269–306 (2004)

    CrossRef  Google Scholar 

  11. Izard, C.: Four systems for emotion activation: cognitive and noncognitive processes. Psychological Review, 68–90 (1993)

    Google Scholar 

  12. Kelly, V.: A primer of affect psychology (2009). http://www.tomkins.org/wp-content/uploads/2014/07/Primer_of_Affect_Psychology-Kelly.pdf

  13. Lee-Johnson, C.P., Carnegie, D.A.: Emotion-based parameter modulation for a hierarchical mobile robot planning and control architecture. In: 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, October 29 – November 2, 2007. Sheraton Hotel and Marina, San Diego, pp. 2839–2844 (2007)

    Google Scholar 

  14. Malfaz, M., Salichs, M.A.: A new approach to modeling emotions and their use on a decision-making system for artificial agents. IEEE Transactions on Affective Computing 3(1), 56–68 (2012)

    CrossRef  Google Scholar 

  15. Marsella, S.C., Gratch, J., Petta, P.: Computational models of emotion. In: Scherer, K.R., Bnziger, T., Roesch, T. (eds.) A blueprint for an affectively competent agent: Cross-fertilization between Emotion Psychology, Affective Neuroscience, and Affective Computing. Oxford University Press, Oxford (2010)

    Google Scholar 

  16. Ortony, A., Clore, G.L., Collins, A.: The cognitive structure of emotions. Cambridge Univ. Press, Cambridge (1994). http://opac.inria.fr/record=b1125551, autre tirage: 1999

    Google Scholar 

  17. Russell, J.A.: A circumplex model of affect. Journal of Personality and Social Psychology 39, 1161–1178 (1980)

    CrossRef  Google Scholar 

  18. Scherer, K.R.: Appraisal considered as a process of multi-level sequential checking, pp. 92–120. Oxford University Press, New York (2001)

    Google Scholar 

  19. Scherer, K.R.: A Blueprint for Affective Computing, chap. Theoretical approaches to teh study of emotion in humans and machines, pp. 21–46. Oxford University Press (2010)

    Google Scholar 

  20. Tomkins, S.S.: Affect theory. Approaches to emotion, pp. 163–195 (1984)

    Google Scholar 

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Correspondence to Julian M. Angel Fernandez .

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Angel Fernandez, J.M., Bonarini, A., Cañamero, L. (2015). A Reactive Competitive Emotion Selection System. In: Tapus, A., André, E., Martin, JC., Ferland, F., Ammi, M. (eds) Social Robotics. ICSR 2015. Lecture Notes in Computer Science(), vol 9388. Springer, Cham. https://doi.org/10.1007/978-3-319-25554-5_4

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  • DOI: https://doi.org/10.1007/978-3-319-25554-5_4

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