JACIII Vol.14 No.7 pp. 852-859
doi: 10.20965/jaciii.2010.p0852


Personal Preference Analysis for Emotional Behavior Response of Autonomous Robot in Interactive Emotion Communication

Ryohei Taki, Yoichiro Maeda, and Yasutake Takahashi

Dept. of Human and Artificial Intelligent Systems, Graduate School of Engineering, University of Fukui, 3-9-1 Bunkyo, Fukui 910-8507, Japan

April 18, 2010
July 15, 2010
November 20, 2010
emotion, communication, autonomous robot, fuzzy inference

Robots must understand human intention flexibly before the two can live together, for example. Interaction Emotion Communication (IEC), bidirectional communication based on emotional behavior between human beings and robots, raises the personal affinity a robot has for human beings. IEC consists of three processes – (1) recognizing human emotion, (2) generating robot emotion, and (3) expressing robot emotion. We focus here on generating robot emotion. Emotional behavior patterns desirable in a robot vary with the person, so we also conducted individual preference analysis of emotional behavior.

Cite this article as:
R. Taki, Y. Maeda, and Y. Takahashi, “Personal Preference Analysis for Emotional Behavior Response of Autonomous Robot in Interactive Emotion Communication,” J. Adv. Comput. Intell. Intell. Inform., Vol.14, No.7, pp. 852-859, 2010.
Data files:
  1. [1] Special Issue of “Commercialization of Robotic Research Achievements,” J. of the Robotics Society of Japan, Vol.23, No.2, 2005. (in Japanese)
  2. [2] Special Issue of “Human Symbiotic System,” J. of Japan Society for Fuzzy Theory and Intelligent Informatics, Vol.21, No.5, 2009. (in Japanese)
  3. [3] K. Itoh, H. Miwa, M. Matsumoto, M. Zecca, H. Takanobu, S. Rocdella, M. C. Carrozza, P. Dario, and A. Takanishi, “Various Emotion Expressions with Emotion Expression Humanoid Robot WE-4RII,” Proc. of the 1st IEEE Technical Exhibition Based Conf. on Robotics and Automation, pp. 35-36, 2004.
  4. [4] A. Bruce, I. Nourbakhsh, and R. Simmons, “The Role of Expressiveness and Attention in Human-Robot Interaction,” Proc. of 2002 IEEE Int. Conf. on Robotics and Automation (ICRA ’02), Vol.4, pp. 4138-4142, 2002.
  5. [5] P. Y. Oudeyer, “The production and recognition of emotions in speech: features and algorithms,” Int. J. of Human-Computer Studies, Vol.62, pp. 157-183, 2003.
  6. [6] M. Kanoh, S. Iwata, S. Kato, and H. Itoh, “Emotive Facial Expressions of Sensitivity Communication Robot ‘Ifbot’,” Kansei Engineering International, Vol.5, No.3, pp. 35-42, 2005.
  7. [7] S. Mitshuyoshi, F. Ren, Y. Tanaka, and S. Kuroiwa, “Non-verbal Voice emotion analysis system,” J. of Innovative Computing, Information and Control, Vol.2, No.4, pp. 819-830, 2006.
  8. [8] A. Mehrabian, “Nonverbal Communication,” Aldine De Gruyter, 2007.
  9. [9] K. F.MackDorman, “Androids as an Experimental Apparatus: Why Is There an Uncanny Valley and CanWe Exploit It?,” Toward Social Mechanisms of Android Science, pp. 106-118, 2005.
  10. [10] N. Tanabe and Y. Maeda, “Emotional Behavior Evaluation Method Used Fuzzy Reasoning for Pet-type Robot,” Proc. of the Fourth Int. Symposium on Human and Artificial Intelligence Systems: From Control to Autonomy (HART), pp. 321-326, 2004.
  11. [11] R. Laban, The Mastery of Movement, Plays, Inc., 1971.
  12. [12] J. A. Russell, “A circumplex model of affect,” J. of Personality and Social Psychology, Vol.39, pp. 1161-1178, 1980.
  13. [13] T. Nakata, T. Mori, and T. Sato, “Analysis of impression of Robot Bodily Expression,” J. of Robotics and Mechatronics, Vol.15, No.1, pp. 27-36, 2002.
  14. [14] C. V. O. Witvliet and S. R. Vrana, “Psychophysiological responses as indices of affective dimensions,” Psychophysiology, Vol.32, pp. 436-443, 1995.
  15. [15] C. V. O. Witvliet and S. R. Vrana, “Emotional imagery, the visual startle, and covariation bias: An affective matching account,” Biological Psychology, Vol.52, pp. 187-204, 2000.
  16. [16] E. L. Lehmann, NONPARAMETRICS Statistical Methods Based on Randks, Holden-Days, Inc., 1975.
  17. [17] S. Takeuchi, A. Sakai, S. Kato, and H. Itoh, “An Emotion Generation Model Based on the Dialogist Likability for Sensitivity Communication Robot,” J. of the Robotics Society of Japan, Vol.25, No.7, pp. 1125-1133, 2007. (in Japanese)
  18. [18] T. Kanda, H. Ishiguro, and T. Ishida, “Psychological Evaluation on Interactions between People and Robot,” J. of the Robotics Society of Japan, Vol.19, No.3, pp. 362-371, 2001. (in Japanese)

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