文章基本信息

标题：A Method for Adjusting Sound Symbolism Attributes of Onomatopoeias
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作者：Junki Ito ; Masayoshi Kanoh ; Tsuyoshi Nakamura 等
期刊名称：人工知能学会論文誌
印刷版ISSN：1346-0714
电子版ISSN：1346-8030
出版年度：2015
卷号：30
期号：1
页码：364-371
DOI：10.1527/tjsai.30.364
出版社：The Japanese Society for Artificial Intelligence
摘要：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.
关键词：human robot interaction ; sound symbolism ; onomatopoeias ; robot control