Journal of Institute of Control, Robotics and Systems (제어로봇시스템학회논문지)

Institute of Control, Robotics and Systems (제어로봇시스템학회)
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Robot's Motivational Emotion Model with Value Effectiveness for Social Human and Robot Interaction

사람과 로봇의 사회적 상호작용을 위한 로봇의 가치효용성 기반 동기-감정 생성 모델

  • Received : 2014.02.15
  • Accepted : 2014.03.30
  • Published : 2014.05.01
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Abstract

People would like to be socially engaged not only with humans but also with robots. One of the most common ways in the robotic field to enhance human robot interaction is to use emotion and integrate emotional concepts into robots. Many researchers have been focusing on developing a robot's emotional expressions. However, it is first necessary to establish the psychological background of a robot's emotion generation model in order to implement the whole process of a robot's emotional behavior. Therefore, this article suggests a robot's motivational emotion model with value effectiveness from a Higgins' motivation definition, regulatory focus theory, and Circumplex model. For the test, a game with the best-two-out-of-three rule is introduced. Each step of the game was evaluated by the proposed model. As the results imply, the proposed model generated psychologically appropriate emotions for a robot in the given situation. The empirical survey remains for future work to prove that this research improves social human robot interaction.

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References

  1. Lin, Patrick, Keith Abney, and George A. Bekey. Robot Ethics: The Ethical and Social Implications of Robotics. The MIT Press, 2011.
  2. Guy Hoffman (2013, October). Robots with "soul" [Video file]. Retrieved from http://www.ted.com/talks/guy_hoffman_robots_with_soul.html
  3. Breazeal, Cynthia L. Designing Sociable Robots with CDROM, MIT press, 2004.
  4. Thomaz, Andrea L., and Cynthia Breazeal, "Teachable robots: Understanding human teaching behavior to build more effective robot learners," Artificial Intelligence, 172.6, pp. 716-737, 2008. https://doi.org/10.1016/j.artint.2007.09.009
  5. Kozima, Hideki, Marek P. Michalowski, and C. Nakagawa, "Keepon: A Playful Robot for Research, Therapy, and Entertainment," International Journal of Social Robotics 1.1, pp. 3-18, 2009. https://doi.org/10.1007/s12369-008-0009-8
  6. Lee, Hui Sung, et al. "A linear dynamic affect-expression model: Facial expressions according to perceived emotions in mascottype facial robots," Robot and Human interactive Communication, 2007. RO-MAN 2007. The 16th IEEE International Symposium on. IEEE, 2007.
  7. Park, Jeong Woo, et al. "A Robot Simulator'FRESi'for Dynamic Facial Expression," The 6th International Conference on Ubiquitous Robots and Ambient Intelligence, 2009.
  8. Kim, Woo Hyun, et al. "Synchronized multimodal expression generation using editing toolkit for a human-friendly robot," Robotics and Biomimetics (ROBIO), 2009 IEEE International Conference on. IEEE, 2009.
  9. Kim, Woo Hyun, et al. "Hierarchical database based on feature parameters for various multimodal expression generation of robot," Advanced Robotics and its Social Impacts (ARSO), 2010 IEEE Workshop on. IEEE, 2010.
  10. Kim, Jaewoo, et al. "Automated robot speech gesture generation system based on dialog sentence punctuation mark extraction," System Integration (SII), 2012 IEEE/SICE International Symposium on. IEEE, 2012.
  11. Haring, M., Nikolaus Bee, and Elisabeth Andre, "Creation and evaluation of emotion expression with body movement, sound and eye color for humanoid robots," RO-MAN, 2011.
  12. Arkin, Ronald C., et al. "An ethological and emotional basis for human-robot interaction," Robotics and Autonomous Systems 42.3, pp. 191-201, 2003. https://doi.org/10.1016/S0921-8890(02)00375-5
  13. Breazeal, Cynthia, "Function meets style: insights from emotion theory applied to HRI," Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE Transactions on 34.2, pp. 187-194, 2004. https://doi.org/10.1109/TSMCC.2004.826270
  14. Miwa, Hiroyasu, et al. "A new mental model for humanoid robots for human friendly communication introduction of learning system, mood vector and second order equations of emotion," Robotics and Automation, 2003. Proceedings. ICRA'03. IEEE International Conference on. vol. 3. IEEE, 2003.
  15. Kwon, Dong-Soo, et al. "Emotion interaction system for a service robot," Robot and Human interactive Communication, 2007. RO-MAN 2007. The 16th IEEE International Symposium on. IEEE, 2007.
  16. Kim, Won Hwa, et al. "Stochastic approach on a simplified OCC model for uncertainty and believability," Computational Intelligence in Robotics and Automation (CIRA), 2009 IEEE International Symposium on. IEEE, 2009.
  17. Lee, Won Hyong, et al. "Robot's emotion generation model for transition and diversity using energy, entropy, and homeostasis concepts," Robotics and Biomimetics (ROBIO), 2010 IEEE International Conference on. IEEE, 2010.
  18. Higgins, E. Tory. "Promotion and prevention experiences: Relating emotions to nonemotional motivational states," Handbook of Affect and Social Cognition, pp. 186-211, 2001.
  19. Higgins, E. Tory, Beyond Pleasure and Pain: How Motivation Works. Oxford University Press, 2011.
  20. Keynes, John Maynard, General Theory of Employment, Interest and Money. Atlantic Publishers & Dist, 2006.
  21. R. S. Woodworth and H. Schlosberg, "Experimental psychology. New York: Henry Holt and Company," (1938): 696.
  22. Hebb, Donald Olding. "Drives and the CNS (conceptual nervous system)," Psychological Review 62.4 (1955): 243. https://doi.org/10.1037/h0041823
  23. White, Robert W. "Motivation reconsidered: the concept of competence," Psychological Review 66.5 (1959): 297. https://doi.org/10.1037/h0040934
  24. Bandura, Albert, "Self-efficacy mechanism in human agency," American Psychologist 37.2 (1982): 122. https://doi.org/10.1037/0003-066X.37.2.122
  25. Deci, Edward L., and Richard M. Ryan. "The" what" and" why" of goal pursuits: Human needs and the self-determination of behavior," Psychological Inquiry 11.4, pp. 227-268, 2000. https://doi.org/10.1207/S15327965PLI1104_01
  26. Hawes, Nick. "A survey of motivation frameworks for intelligent systems," Artificial Intelligence 175.5, pp. 1020-1036, 2011. https://doi.org/10.1016/j.artint.2011.02.002
  27. Breazeal, Cynthia, "A motivational system for regulating human-robot interaction," AAAI/IAAI, 1998.
  28. Dimas, Joana, et al. "Pervasive pleo: long-term attachment with artificial pets," Mobile HCI, 2010.
  29. Oudeyer, Pierre-Yves, and Frederic Kaplan, "What is intrinsic motivation? a typology of computational approaches," Frontiers in Neurorobotics 1, 2007.
  30. Oudeyer, P-Y., Frederic Kaplan, and Verena Vanessa Hafner, "Intrinsic motivation systems for autonomous mental development," Evolutionary Computation, IEEE Transactions on 11.2, pp. 265-286, 2007. https://doi.org/10.1109/TEVC.2006.890271
  31. Sokolov, Evgeni N., and Wolfram Boucsein. "A psychophysiological model of emotion space," Integrative Physiological and Behavioral Science 35.2, pp. 81-119, 2000. https://doi.org/10.1007/BF02688770
  32. Russell, James A., "A circumplex model of affect," Journal of Personality and Social Psychology, vol. 39, no. 6, Dec. 1980.
  33. Ekman, Paul, and Wallace V. Friesen. Unmasking the Face: A Guide to Recognizing Emotions from Facial Clues. Ishk, 2003.
  34. Lee, Hui Sung, Jeong Woo Park, and Myung Jin Chung, "A linear affect-expression space model and control points for mascot-type facial robots," Robotics, IEEE Transactions on 23.5, pp. 863-873, 2007. https://doi.org/10.1109/TRO.2007.907477
  35. J. W. Park, W. H. Kim, W. H. Lee, and M. J. Chung, "A robot simulator 'FRESi' for dynamic facial expression," The 6th International Conference on Ubiquitous Robots and Ambient Intelligence, pp. 727 - 728, Gwangju, Korea, Oct. 2009.