Toward Making Humans Empathize with Artificial Agents by Means of Subtle Expressions

  • Takanori Komatsu
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3784)


Can we assign attitudes to a computer based on its represented subtle expressions, such as beep sounds and simple animations? If so, which kinds of beep sounds or simple animations are perceived as specific attitudes, such as “disagreement”, “hesitation” or “agreement”? To examine this issue, I carried out two experiments to observe and clarify how participants perceive or assign an attitude to a computer according to beep sounds of different durations and F0 contour’s slopes (Experiment 1) or simple animations of different durations and objects’ velocities (Experiment 2). The results of these two experiments revealed that 1) subtle expressions with increasing intonations (Experiment 1) or velocities (Experiment 2) were perceived by participants as “disagreement”, 2) flat intonations and velocities with longer duration were interpreted as “hesitation”, and 3) decreasing intonations and velocities with shorter duration were taken as “agreement.”


Humanoid Robot Transition Range Sound Stimulus Neutral Speech Beep Sound 
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  1. 1.
    Ishiguro, H., Ono, T., Imai, M., Maeda, T., Kanda, T., Nakatsu, R.: Robovie: an interactive humanoid robot. International Journal of Industrial Robot 28(6), 498–503 (2001)CrossRefGoogle Scholar
  2. 2.
    Liu, K., Picard, W.R.: Subtle Expressivity in a Robotic Computer. In: Proceedings of the CHI 2003 Workshop on Subtle Expressivity for Characters and Robot (2003)Google Scholar
  3. 3.
    Nagasaki, Y., Komatsu, T.: Can People Perceive Different Emotions from a Non-emotional Voice by Modifying its F0 and Duration? In: Proceedings of the 2nd International Conference on Speech Prosody (SP 2004), pp. 667–670 (2004)Google Scholar
  4. 4.
    Prendinger, H., DeCampus, S., Ishizuka, M.: MPML: A Markup Language for Controlling the Behavior of Life-like Characters. Journal of Visual Languages and Computing 15(2), 183–203 (2004)CrossRefGoogle Scholar
  5. 5.
    Suzuki, N., Kakehi, K., Takeuchi, Y., Okada, M.: Social effects of the speed of hummed sounds on human-computer interaction. International Journal of Human-Computer Studies 60, 455–468 (2004)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Takanori Komatsu
    • 1
  1. 1.Future University-HakodateHakodateJapan

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