A model of Kawaii feelings for cosmetic bottles

Tipporn Laohakangvalvit, Tiranee Achalakul, Michiko Ohkura

研究成果: Conference contribution

2 被引用数 (Scopus)

抄録

Affective values are important factors in manufacturing in Japan. Kawaii, an affirmative adjective that denotes such positive meanings as cute or lovable, becomes even more critical as an affective value and plays leading role in the worldwide success of many products, such as Hello Kitty and Pokemon. Based on this success, we believe that kawaii will be a key factor in future product design. In our previous research, we proposed models of kawaii feelings for spoon designs. We extracted the attributes of such designs and constructed models using the Support Vector Machine (SVM) algorithm. In this research, we used the Deep Convolutional Neural Network (CNN) algorithm because it can perform classification using images as input and studied the kawaiiness of cosmetic bottles. Our objectives were to propose a model of kawaii feelings for cosmetic bottles and a method with which to construct it. We applied the model to evaluate the attributes of cosmetic bottles and clarified effective attributes to increase the kawaiiness.

本文言語English
ホスト出版物のタイトルProceedings of 2018 5th International Conference on Business and Industrial Research
ホスト出版物のサブタイトルSmart Technology for Next Generation of Information, Engineering, Business and Social Science, ICBIR 2018
出版社Institute of Electrical and Electronics Engineers Inc.
ページ143-148
ページ数6
ISBN(電子版)9781538652541
DOI
出版ステータスPublished - 2018 6 20
イベント5th International Conference on Business and Industrial Research, ICBIR 2018 - Bangkok, Thailand
継続期間: 2018 5 172018 5 18

出版物シリーズ

名前Proceedings of 2018 5th International Conference on Business and Industrial Research: Smart Technology for Next Generation of Information, Engineering, Business and Social Science, ICBIR 2018

Other

Other5th International Conference on Business and Industrial Research, ICBIR 2018
国/地域Thailand
CityBangkok
Period18/5/1718/5/18

ASJC Scopus subject areas

  • ビジネス、管理および会計(その他)
  • 人工知能
  • コンピュータ サイエンスの応用
  • 産業および生産工学
  • 社会科学(その他)
  • 信号処理
  • 情報システムおよび情報管理
  • 経営科学およびオペレーションズ リサーチ

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