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
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Published in: 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, p.
Published: 2008-02-15
ISBN:
ISSN: 1650-3686 (print), 1650-3740 (online)
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.
