A Method for Adjusting Sound Symbolism Attributes of Onomatopoeias

Abstract

Onomatopoeias refer to words that represent the sound, appearance, or voice of things, which makes it possible to create expressions that bring a scene to life in a subtle fashion. Using onomatopoeias therefore makes process of robot motion generation more easily and intuitively. In previous research, objective quantified values of onomatopoeias have been used as indices of robot motion. In Japanese language, however, onomatopoeias also include mimetic and emotive words. Impression of these words arises from the experience of each people, therefore, its impression might differ among people. In this paper, we propose a method for adjusting the objective quantified values (sound symbolism attributes) of onomatopoeias. Using our method, users of robots are able to create its motions representing the user's image better.