Abstract
A fuzzy set representation method of Kansei Texture is proposed to express individual difference of Kansei Texture feelings for the purpose of mainly online shopping. It provides buyers the criteria if sample sending request is necessary or not according to the variance degree of individual difference and it also offers sellers the possibility information of return-goods in the case of big individual difference. The correlation coefficient of the degree of individual difference and sample demand is 0.78(P<0.05), i.e., directly proportional relationship is observed between two degrees. The correlation coefficient of the individual difference and the return-goods demand is 0.59(P<0.05). Moreover, the relation with stress and individual difference is also shown. The further verification of the validity is under investigated.
| Original language | English |
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| Pages | 1-7 |
| Number of pages | 7 |
| Publication status | Published - 2014 |
| Externally published | Yes |
| Event | Joint International Conference of the 10th China-Japan International Workshop on Information Technology and Control Applications and the 6th International Symposium on Computational Intelligence and Industrial Applications, ITCA and ISCIIA 2014 - Changsha, China Duration: 15 Sept 2014 → 20 Sept 2014 |
Conference
| Conference | Joint International Conference of the 10th China-Japan International Workshop on Information Technology and Control Applications and the 6th International Symposium on Computational Intelligence and Industrial Applications, ITCA and ISCIIA 2014 |
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| Country/Territory | China |
| City | Changsha |
| Period | 15/09/14 → 20/09/14 |
Keywords
- Fuzzy set
- Individual difference
- Kansei/affective-engineering
- Tactile sensation
- Visualization