Ikebana support system reflecting Kansei with interactive evolutionary computation

Junichi Saruwatari, Masafumi Hagiwara

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

In this paper, we propose an ikebana support system which can reflect kansei employing interactive evolutionary computation. In the conventional flower layout support system, users cannot adjust the presented layouts. In the proposed system, users can adjust and evaluate the presented layouts. Moreover, new functions are implemented so that the system can learn users' preferences from their adjustments and evaluations. In addition, we deal with basic styles of ikebana which differ in many schools of Japanese ikebana. From evaluation experiments, it is indicated that the proposed system can present layouts which satisfy both ikebana beginners and advanced ikebana learners.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages456-467
Number of pages12
Volume3711 LNCS
DOIs
Publication statusPublished - 2005
Event4th International Conference on Entertainment Computing - ICEC 2005 - Sanda, Japan
Duration: 2005 Sep 192005 Sep 21

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3711 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other4th International Conference on Entertainment Computing - ICEC 2005
CountryJapan
CitySanda
Period05/9/1905/9/21

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Keywords

  • Evolutionary computation
  • Ikebana
  • Image scale

ASJC Scopus subject areas

  • Computer Science(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Theoretical Computer Science

Cite this

Saruwatari, J., & Hagiwara, M. (2005). Ikebana support system reflecting Kansei with interactive evolutionary computation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3711 LNCS, pp. 456-467). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3711 LNCS). https://doi.org/10.1007/11558651_44