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.
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Angel F., J.M., Bonarini, A.: Towards an autonomous theatrical robot. In: ACII 2013, pp. 689–694 (2013)
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)
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)
Breazeal, C.: Designing Sociable Robots. MIT Press, Cambridge (2002)
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)
Caamero, L.: Emotion understanding from the perspective of autonomous robots research. Neural Networks 18(4), 445–455 (2005). emotion and Brain
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)
Ekman, P.: Emotions Revealed : Recognizing Faces and Feelings to Improve Communication and Emotional Life. Owl Books, March 2004
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)
Gratch, J., Marsella, S.: A domain-independent framework for modeling emotion. Journal of Cognitive Systems Research 5, 269–306 (2004)
Izard, C.: Four systems for emotion activation: cognitive and noncognitive processes. Psychological Review, 68–90 (1993)
Kelly, V.: A primer of affect psychology (2009). http://www.tomkins.org/wp-content/uploads/2014/07/Primer_of_Affect_Psychology-Kelly.pdf
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)
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)
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)
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
Russell, J.A.: A circumplex model of affect. Journal of Personality and Social Psychology 39, 1161–1178 (1980)
Scherer, K.R.: Appraisal considered as a process of multi-level sequential checking, pp. 92–120. Oxford University Press, New York (2001)
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)
Tomkins, S.S.: Affect theory. Approaches to emotion, pp. 163–195 (1984)
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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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