Konferensartikel

An E-Commerce Site to Propose Gift Flower Arrangements that Fit Kansei and Social Manners

Keiko Ishihara
School of Psychological Science, Hiroshima International University, Kurose-Gakuendai, Higashi-Hiroshima, Japan

Ryo Nakagawa
School of Psychological Science, Hiroshima International University, Japan

Shigekazu Ishiahra
School of Psychological Science, Hiroshima International University, Japan

Mitsuo Nagamachi
Institute of user science, Kyushu University, Japan

Ladda ner artikelhttp://www.ep.liu.se/ecp_article/index.en.aspx?issue=026;article=066

Ingår i: 10th QMOD Conference. Quality Management and Organiqatinal Development. Our Dreams of Excellence; 18-20 June; 2007 in Helsingborg; Sweden

Linköping Electronic Conference Proceedings 26:66, s.

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Publicerad: 2008-02-15

ISBN:

ISSN: 1650-3686 (tryckt), 1650-3740 (online)

Abstract

We give people flowers on special occasions. For example; we give vases of field flowers to family members on their birthdays or passionate flowers to our lovers. Flowers are chosen to depict a message with the sender’s kansei (Japanese word that means sense; feeling; or emotion) and are bound by social manners. Few buyers but most florists have expert knowledge of the flowering time; scent; price; and nature of each flower; and are experts in arranging flowers that meet a given purpose. Typically; a florist infers an acceptable solution after obtaining information from the customer.

This study sought to incorporate handling constraints into the inference process of a kansei engineering system. The proposed system deals with flower arrangements using foams in containers. A purchaser inputs data such as the purpose of the present; relationship with the recipient; and budget. The system receives the data and then retrieves suitable flowers from the database according to the results of a kansei evaluation and social constraints. Then the system displays a list of possible flowers and types of arrangements.

Nyckelord

Gift; social manner; kansei; flower arrangement; constraint; expert system

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