A Study for Verbalization of Writing-Skill-Features using Onomatopoeias

• Hojo Hiroki

  Nagoya Institute of Technology

• Isogai Junji

  Nagoya Institute of Technology

• Tomoto Yutaro

  Nagoya Institute of Technology

• Nakamura Tsuyoshi

  Nagoya Institute of Technology

• Kanoh Masayoshi

  Chukyo University

• Yamada Koji

  Institute of Advanced Media Arts and Sciences

Bibliographic Information

Other Title

• オノマトペによる筆記特徴の言語化に関する一考察

Abstract

Embodied expertise, which expresses skills of experts, is a kind of tacit knowledge that is difficult to transfer from one person to another by writing it down or verbalizing it. The final goal of our study is to translate embodied expertise into explicit knowledge, i.e. onomatopoeias. We call the onomatopoeias ``embodied expertise onomatopoeias'', which can enable people to understand the skills intuitively and easily. For skillful actions to be translated into onomatopoeic words, we chose and adopted the writing operations of Japanese penmanship, Pen Shodo, using a pen. Japanese calligraphy using a brush, Shodo, is a popular art form in Japan. Pen Shodo is a similar art form, and improvement of Pen Shodo skills is useful for neat handwriting in business or daily life. Pen-writing skills are composed of several writing features. The important ones are the pen pressure that a writer puts on his/her pen and pen speed at which he/she writes. These two features greatly affect the appearance of Kanji characters written with a pen as well as Kanji characters written with a brush in traditional Shodo. In this paper, we investigated the correspondence between the writing features and onomatopoeic words. As the results, we detected some of the onomatopoeic words could affect the writing features. The investigation results might provide fundamental knowledge to verbalize embodied expertise into onomatopoeias.

Journal

• Transactions of the Japanese Society for Artificial Intelligence

  Transactions of the Japanese Society for Artificial Intelligence 30 (1), 291-305, 2015

  The Japanese Society for Artificial Intelligence

Keywords

• penmanship
• embodied expertise
• multi-class classifier
• statistical test

Details

• CRID: 1390001205107983360
• NII Article ID: 130004927352
• DOI: 10.1527/tjsai.30.291
• ISSN: 13468030
• ISSN: 13460714
• Text Lang: ja
• Data Source:
  • JaLC
  • Crossref
  • CiNii Articles
  • KAKEN
• Abstract License Flag: Disallowed