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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)

Abstract

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.”

Keywords

Humanoid Robot Transition Range Sound Stimulus Neutral Speech Beep Sound 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

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

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