Abstract
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.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of 2018 5th International Conference on Business and Industrial Research |
| Subtitle of host publication | Smart Technology for Next Generation of Information, Engineering, Business and Social Science, ICBIR 2018 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 143-148 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781538652541 |
| DOIs | |
| Publication status | Published - 2018 Jun 20 |
| Event | 5th International Conference on Business and Industrial Research, ICBIR 2018 - Bangkok, Thailand Duration: 2018 May 17 → 2018 May 18 |
Other
| Other | 5th International Conference on Business and Industrial Research, ICBIR 2018 |
|---|---|
| Country | Thailand |
| City | Bangkok |
| Period | 18/5/17 → 18/5/18 |
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Keywords
- Affective value
- Cosmetic bottles
- Deep Convolutional Neural Network (CNN)
- Kawaii
ASJC Scopus subject areas
- Business, Management and Accounting (miscellaneous)
- Artificial Intelligence
- Computer Science Applications
- Industrial and Manufacturing Engineering
- Social Sciences (miscellaneous)
- Signal Processing
- Information Systems and Management
- Management Science and Operations Research
Cite this
A model of Kawaii feelings for cosmetic bottles. / Laohakangvalvit, Tipporn; Achalakul, Tiranee; Ohkura, Michiko.
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. Institute of Electrical and Electronics Engineers Inc., 2018. p. 143-148.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - A model of Kawaii feelings for cosmetic bottles
AU - Laohakangvalvit, Tipporn
AU - Achalakul, Tiranee
AU - Ohkura, Michiko
PY - 2018/6/20
Y1 - 2018/6/20
N2 - 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.
AB - 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.
KW - Affective value
KW - Cosmetic bottles
KW - Deep Convolutional Neural Network (CNN)
KW - Kawaii
UR - http://www.scopus.com/inward/record.url?scp=85050162181&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85050162181&partnerID=8YFLogxK
U2 - 10.1109/ICBIR.2018.8391182
DO - 10.1109/ICBIR.2018.8391182
M3 - Conference contribution
AN - SCOPUS:85050162181
SP - 143
EP - 148
BT - Proceedings of 2018 5th International Conference on Business and Industrial Research
PB - Institute of Electrical and Electronics Engineers Inc.
ER -