Abstract
It is always the focus of researchers’ attention to endow the robot with the emotion similar to human in human robot interaction. This paper present an artificial affective model based on Hidden Markov Model (HMM). It can achieve the transfer of several affective states under some basic hypothesis and restriction. The paper also shows some simulation results of affective states change. It is the basis for architecture in support of interactive robot. Then the paper explains the technical route of playmate robot for children in detail. The robot can behave like a human child and attempt daily communication with human supported by the affective model and these technologies.
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Ekman, P., Davidson, R.J.: The Nature of Emotion. Oxford University Press, Oxford (1994)
Elliott, C.: The Affective Reasoner: A Process Model of Emotions in a Multi-agent System. Ph.D. Dissertation, Northwestern University, The Institute for the Learning Sciences, Technical Report No.32 (1992)
Roseman, I.J.: Cognitive Aspects of Emotion and Emotional Behavior. The 87th Annual Convention (1979)
Reilly, W.S.: Believable Social and Emotional Agents. Technical Report CMU-CS-96-138, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA (1996)
Gratch, J., Marsella, S.: Evaluating the Modeling and Use of Emotion in Virtual Humans. In: AAMAS 2004, vol. 1 (2004)
Wang, Z.L.: Artificial Psychology-a most Accessible Science Research to Human Brain. Journal of University of Science and Technology Beijing 22, 478–481 (2000)
Lu, C.G.: Stochastic Processes in Engineering System, pp. 32–36. Electronic Industry Publishing House, Beijing (2000)
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© 2008 Springer-Verlag Berlin Heidelberg
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Yu, J., Xie, L., Wang, Z., Xia, Y. (2008). An Affective Model Applied in Playmate Robot for Children. In: Sun, F., Zhang, J., Tan, Y., Cao, J., Yu, W. (eds) Advances in Neural Networks - ISNN 2008. ISNN 2008. Lecture Notes in Computer Science, vol 5264. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87734-9_18
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DOI: https://doi.org/10.1007/978-3-540-87734-9_18
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-87733-2
Online ISBN: 978-3-540-87734-9
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